Most Cited AAAI "mixing time estimation" Papers
5,317 papers found • Page 22 of 27
Conference
Probabilistic Explanations for Linear Models
Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
Bohang Sun, Yongjian Deng, Yuena Lin et al.
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Chengkun Sun, Jinqian Pan, Russell Stevens Terry et al.
Online MDP with Prototypes Information: A Robust Adaptive Approach
Shuo Sun, Meng Qi, Zuo-Jun Max Shen
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
Improving Private Random Forest Prediction Using Matrix Representation
Arisa Tajima, Joie Wu, Amir Houmansadr
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks
Da Sun Handason Tam, Huanle Xu, Yang Liu et al.
Model Lineage Closeness Analysis
Chen Tang, Lan Zhang, Qi Zhao et al.
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
Keke Tang, Ziyong Du, Weilong Peng et al.
Reputation-aware Revenue Allocation for Auction-based Federated Learning
Xiaoli Tang, Han Yu
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak et al.
Fast Multi-Instance Partial-Label Learning
Yin-Fang Yang, Wei Tang, Min-Ling Zhang
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
Yunhao Yang, Bo Xue, Yunzhi Hao et al.
Continual Unsupervised Generative Modelling via Online Optimal Transport
Fei Ye, Adrian G. Bors, Kun Zhang
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
Fei Ye, Adrian G. Bors
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
Hangyu Ye, Weiying Xie, Yunsong Li et al.
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
Liping Yi, Han Yu, Chao Ren et al.
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
Mingze Yin, Hanjing Zhou, Yiheng Zhu et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
Xiaotian Yin, Xin Liu, Si Chen et al.
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Kihyuk Yoon, Chiehyeon Lim
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
Mu You, Fang Zhang, Shuai Zhang et al.
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Hongwei Wang et al.
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Wentao Yu, Shuo Chen, Yongxin Tong et al.
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation
Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.
Contextual Structure Knowledge Transfer for Graph Neural Networks
Zhiyuan Yu, Wenzhong Li, Zhangyue Yin et al.
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning
Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
Jia Zeng, Lan Huang, Kangping Wang
Graph Structure Refinement with Energy-based Contrastive Learning
Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition
Beibei Zhang, Tongwei Ren, Gangshan Wu
Learning Robust and Privacy-Preserving Representations via Information Theory
Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao et al.
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization
Haozhen Zhang, Zhaogeng Liu, Bin Gu et al.
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
Hongliang Zhang, Shuo Chen, Lei Luo et al.
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression
Junwei Zhang, Tianheng Wang, Zeyi Zhang et al.
A-VL: Adaptive Attention for Large Vision-Language Models
Junyang Zhang, Mu Yuan, Ruiguang Zhong et al.
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
Li Zhang, Chaochao Chen, Zhongxuan Han et al.
Channel Merging: Preserving Specialization for Merged Experts
Mingyang Zhang, Jing Liu, Ganggui Ding et al.
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
Qin Zhang, Xiaowei Li, Ziqi Liu et al.
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
Qinbo Zhang, Xiao Yan, Yukai Ding et al.
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
Ruijia Zhang, Mingxi Lei, Meng Ding et al.
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection
Shuai Zhang, Yu Fan, Haoyi Zhou et al.
Parametric ρ-Norm Scaling Calibration
Siyuan Zhang, Linbo Xie
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
Tianlong Zhang, Zhe Xue, Adnan Mahmood et al.
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation
Wenjie Zhang, Jun Yin, Long Ma et al.
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Xiao Zhang, Sunhao Dai, Jun Xu et al.
HVAdam: A Full-Dimension Adaptive Optimizer
Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang et al.
Evolutionary Classifier Chain for Multi-Dimensional Classification
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
Yuanyang Zhang, Yijie Lin, Weiqing Yan et al.
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation
Yumin Zhang, Haoran Duan, Rui Sun et al.
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
Yunhe Zhang, Jinyu Cai, Zhihao Wu et al.
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao, Hongyang Du, Guangyuan Liu et al.
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
Hanyu Zhao, Zijie Pan, Yajie Wang et al.
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
Qi Zhao, Christian Wressnegger
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin et al.
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
Weibo Zhao, Yubin Shi, Xinyu Lyu et al.
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
Xin-yang Zhao, Jian Jin, Yang-yang Li et al.
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao, Junyu Luo, Xiao Luo et al.
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
Zhe Zhao, Pengkun Wang, Haibin Wen et al.
Mixture of Online and Offline Experts for Non-Stationary Time Series
Zhilin Zhao, Longbing Cao, Yuanyu Wan
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Hao Zheng, Zhigang Hu, Liu Yang et al.
MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition
Yan Zhong, Zhixin Yan, Yi Xie et al.
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
Ao Zhou, Bin Liu, Jin Wang et al.
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
Guangchong Zhou, Zeren Zhang, Guoliang Fan
All You Need in Knowledge Distillation Is a Tailored Coordinate System
Junjie Zhou, Ke Zhu, Jianxin Wu
On Probabilistic Truncation in Privacy-preserving Machine Learning
Lijing Zhou, Bingsheng Zhang, Ziyu Wang et al.
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
Pengyang Zhou, Chaochao Chen, Weiming Liu et al.
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models
Qirui Zhou, Yuanbo Wen, Ruizhi Chen et al.
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
Xiaoling Zhou, Ou Wu, Nan Yang
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
Yihe Zhou, Yuxuan Zheng, Yue Hu et al.
Fully Test-time Adaptation for Tabular Data
Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo et al.
Training Deep Neural Networks with Virtual Smoothing Classes
Zhiyang Zhou, Siwei Wei, Xudong Zhang et al.
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
Zikun Zhou, Wen Huang, Xingyi Wang et al.
Single-Loop Federated Actor-Critic across Heterogeneous Environments
Ye Zhu, Xiaowen Gong
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
Yiyi Zhu, Huakang Lu, Yupeng Wu et al.
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
Junbao Zhuo, Shuhui Wang, Zhenghan Chen et al.
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
Yuankun Zu, Shiyu Xia, Xu Yang et al.
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
Heda Zuo, Weitao You, Junxian Wu et al.
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
Ruifan Zuo, Chaoqun Zheng, Lei Zhu et al.
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution
Adam Zychowski, Andrew Perrault, Jacek Mańdziuk
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Anton Andreychuk, Konstantin Yakovlev, Aleksandr Panov et al.
Orpheus: Engineering Multiagent Systems via Communicating Agents
Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh et al.
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements
Rafael Dewes, Rayna Dimitrova
Speedup Techniques for Switchable Temporal Plan Graph Optimization
He Jiang, Muhan Lin, Jiaoyang Li
An Open-Ended Learning Framework for Opponent Modeling
Yuheng Jing, Kai Li, Bingyun Liu et al.
Learning Joint Behaviors with Large Variations
Tianxu Li, Kun Zhu
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
Chunyan Mu, Muhammad Najib, Nir Oren
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
Thomy Phan, Benran Zhang, Shao-Hung Chan et al.
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
Shoucheng Song, Youfang Lin, Sheng Han et al.
Windowed MAPF with Completeness Guarantees
Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li et al.
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
Mingyue Zhang, Nianyu Li, Yi Chen et al.
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
Yue Zhang, Zhe Chen, Daniel Harabor et al.
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng et al.
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
Shengyuan Bai, Qibin Li, Zhe Wang et al.
MP: Endowing Large Language Models with Lateral Thinking
Tian Bai, Yongwang Cao, Yan Ge et al.
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Ashutosh Bajpai, Tanmoy Chakraborty
Text2midi: Generating Symbolic Music from Captions
Keshav Bhandari, Abhinaba Roy, Kyra Wang et al.
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel et al.
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
Han Cao, Lingwei Wei, Wei Zhou et al.
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls
Li Chai, Donglin Wang
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Linzheng Chai, Jian Yang, Tao Sun et al.
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Jiaqi Chen, Xiaoye Zhu, Tianyang Liu et al.
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu et al.
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter
Junhao Chen, Bowen Wang, Zhouqiang Jiang et al.
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
Minping Chen, You-Liang Huang, Zeyi Wen
Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent
Yu-Chuan Chen, Hen-Hsen Huang
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
Yuyan Chen, Zehao Li, Shuangjie You et al.
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder
Jianwei Cui, Yu Gu, Shihao Chen et al.
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
Shaobo Cui, Junyou Li, Luca Mouchel et al.
On Effects of Steering Latent Representation for Large Language Model Unlearning
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems
Sourish Dasgupta, Harsh Sharma, Devansh Patel et al.
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
Muxi Diao, Rumei Li, Shiyang Liu et al.
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou et al.
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models
Yanrui Du, Sendong Zhao, Ming Ma et al.
Enhancing LLMs via High-Knowledge Data Selection
Feiyu Duan, Xuemiao Zhang, Sirui Wang et al.
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Zhichao Duan, Tengyu Pan, Zhenyu Li et al.
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Xuan Feng, Tianlong Gu, Xiaoli Liu et al.
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection
Yifan Feng, Weimin Li, Yue Wang et al.
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
Jian Gao, Xiao Zhang, Miao Li et al.
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
Jianqi Gao, Jian Cao, Ranran Bu et al.
Multi-Branch Self-Drafting for LLM Inference Acceleration
Zipeng Gao, Qingrong Xia, Tong Xu et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long et al.
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism
Jianing He, Qi Zhang, Hongyun Zhang et al.
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao et al.
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
Michael Heck, Christian Geishauser, Nurul Lubis et al.
Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts
Nghia Hieu Nguyen, Dat Tien Nguyen, Ngan Luu-Thuy Nguyen
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
Shifu Hou, Rick Johnson, Ramandeep Makhija et al.
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Chenhui Hu, Pengfei Cao, Yubo Chen et al.
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks
Ziyi Hu, Jun Liu, Zhongzhi Liu et al.
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
Guang Huang, Yanan Xiao, Lu Jiang et al.
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu et al.
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
Shizhou Huang, Bo Xu, Yang Yu et al.
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
Wenshuai Huo, Xiaocheng Feng, Yichong Huang et al.
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
Sieun Hyeon, Kyudan Jung, Jaehee Won et al.
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa et al.
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions
Adam Ishay, Joohyung Lee
Towards Verifiable Text Generation with Generative Agent
Bin Ji, Huijun Liu, Mingzhe Du et al.
Speech Watermarking with Discrete Intermediate Representations
Shengpeng Ji, Ziyue Jiang, Jialong Zuo et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
Dongwei Jiang, Jingyu Zhang, Orion Weller et al.
VERSE: Verification-based Self-Play for Code Instructions
Hao Jiang, Qi Liu, Rui Li et al.
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
Peihai Jiang, Xixiang Lyu, Yige Li et al.
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
Xiaoqiang Kang, Zimu Wang, Xiaobo Jin et al.
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition
Yujin Kang, Yoon-Sik Cho
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
Zixiao Kong, Xianquan Wang, Shuanghong Shen et al.
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
Dongdong Kuang, Richong Zhang, Zhijie Nie et al.
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
Maksim Kuznetsov, Airat Valiev, Alex Aliper et al.
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan, Enneng Yang, Yuting Liu et al.
Multi-Reference Preference Optimization for Large Language Models
Hung Le, Quan Hung Tran, Dung Nguyen et al.
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration
Sangmin Lee, Woojin Chung, Hong-Goo Kang
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models
Haitao Li, Qingyao Ai, Jia Chen et al.
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
Haoling Li, Xin Zhang, Xiao Liu et al.
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
Xiang Li, Yunshi Lan, Chao Yang
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
Ximing Li, Yuanchao Dai, Zhiyao Yang et al.
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
Yongqi Li, Xin Miao, Shen Zhou et al.
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Zhuoran Li, Chunming Hu, Junfan Chen et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Huanxuan Liao, Shizhu He, Yao Xu et al.
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning
Di-Nan Lin, Yao Jui-Feng, Kun-Da Wu et al.
Explore What LLM Does Not Know in Complex Question Answering
Xin Lin, Zhenya Huang, Zhiqiang Zhang et al.
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts
Jiaqing Liu, Chong Deng, Qinglin Zhang et al.
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech
Rui Liu, Shuwei He, Yifan Hu et al.
VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning
Sannyuya Liu, Jintian Feng, Xiaoxuan Shen et al.
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
Yang Liu, Xiaoping Wang, Kai Lu
PAT: Pruning-Aware Tuning for Large Language Models
Yijiang Liu, Huanrui Yang, Youxin Chen et al.
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
Zesheng Liu, Qiannan Zhu, Cuiping Li et al.
Multi-View Empowered Structural Graph Wordification for Language Models
Zipeng Liu, Likang Wu, Ming He et al.
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
Xinwei Long, Zhiyuan Ma, Ermo Hua et al.
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
Penghao Lu, Xin Dong, Yuansheng Zhou et al.
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Xuan Luo, Li Yang, Han Zhang et al.
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai et al.
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
Marcus Ma, Duong Minh Le, Junmo Kang et al.
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
Xindian Ma, Wenyuan Liu, Peng Zhang et al.
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
Yiran Ma, Zui Chen, Tianqiao Liu et al.
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue et al.
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
Jordan Meadows, Marco Valentino, André Freitas
A Compact Model for Mathematics Problem Representations Distilled from BERT
Hao Ming, Xinguo Yu, Xiaotian Cheng et al.
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities
Kshitij Mishra, Manisha Burja, Asif Ekbal
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.
Reasoning over Uncertain Text by Generative Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Tensorized Attention for Understanding Multi-Object Relationships
Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka et al.
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
Abhilash Nandy, Sambaran Bandyopadhyay
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations
Chengfu Ou, Lingyun Xiang, Yangfan Liu
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
Shanghaoran Quan
Interweaving Memories of a Siamese Large Language Model
Xin Song, Zhikai Xue, Guoxiu He et al.