Most Cited 2025 "output format diversity" Papers
22,274 papers found • Page 110 of 112
Conference
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
Yash Sinha, Murari Mandal, Mohan Kankanhalli
Hubness Change Point Detection
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao et al.
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
Mingtao Xu, Wei Wei, Peixuan Yang et al.
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan, Sihao He, Cheng Yang et al.
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
Zhizhi Yu, Chundong Liang, Xinglong Chang et al.
Fuzzy Collaborative Reasoning
Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan et al.
AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression
Chenhao Zhang, Wei Gao
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
Sensen Zhang, Xun Liang, Simin Niu et al.
LLM-Powered User Simulator for Recommender System
Zijian Zhang, Shuchang Liu, Ziru Liu et al.
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
Ziyun Zou, Yinghui Jiang, Lian Shen et al.
Commitment to Sparse Strategies in Two-Player Games
Salam Afiouni, Jakub Černý, Chun Kai Ling et al.
Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem
Logan E. Beaver
Optimal Auction Design for Mixed Bidders
Xiaohui Bei, Pinyan Lu, Zhiqi Wang et al.
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
Weak Strategyproofness in Randomized Social Choice
Felix Brandt, Patrick Lederer
Characterising Simulation-Based Program Equilibria
Emery Cooper, Caspar Oesterheld, Vincent Conitzer
Federated Assemblies
Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro et al.
Learning to Manipulate Under Limited Information
Wesley H. Holliday, Alexander Kristoffersen, Eric Pacuit
Learning Optimal Auctions with Correlated Value Distributions
Da Huo, Zhenzhe Zheng, Fan Wu
Quickest Detection of Adversarial Attacks Against Correlated Equilibria
Kiarash Kazari, Aris Kanellopoulos, György Dán
Equilibria of the Colonel Blotto Games with Costs
Stanisław Kaźmierowski
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Shiri Ron, Daniel Schoepflin
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
Mingquan Feng, Zhijie Chen, Yixin Huang et al.
FloNa: Floor Plan Guided Embodied Visual Navigation
Jiaxin Li, Weiqi Huang, Zan Wang et al.
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
Wentao Wang, Jiaqian Wang, Yuxin Deng et al.
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model
Hongliang Zeng, Ping Zhang, Fang Li et al.
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
Sebastian Adam, Thomas Eiter
Situation Calculus Temporally Lifted Abstractions for Generalized Planning
Giuseppe de Giacomo, Yves Lespérance, Matteo Mancanelli
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Hao Dong, Zheyuan Shi, Hemeng Zeng et al.
LTLf Synthesis Under Unreliable Input
Christian Hagemeier, Giuseppe de Giacomo, Moshe Y. Vardi
On Action Theories with Iterable First-Order Progression
Daxin Liu, Jens Claßen
A Logical Analysis of Hanabi
Elise Perrotin
Checking Consistency of CP-Theory Preferences in Polynomial Time
Erik Rauer, Samik Basu, Vasant Honavar
Shield Synthesis for LTL Modulo Theories
Andoni Rodríguez, Guy Amir, Davide Corsi et al.
A Variable Occurrence-Centric Framework for Inconsistency Handling
Yakoub Salhi
Column-Oriented Datalog on the GPU
Yihao Sun, Sidharth Kumar, Thomas Gilray et al.
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
Ruolin Wang, Yuejiao Xu, Jianmin Ji
Temporal Conjunctive Query Answering via Rewriting
Lukas Westhofen, Jean Christoph Jung, Daniel Neider
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
Wenqian Li, Pengfei Fang, Hui Xue
Bootstrapped Reward Shaping
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin et al.
Unleashing the Potential of Model Bias for Generalized Category Discovery
Wenbin An, Haonan Lin, Jiahao Nie et al.
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Seungheun Baek, Soyon Park, Yan Ting Chok et al.
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants
Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb et al.
Learnability of Parameter-Bounded Bayes Nets
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.
Fairness Shields: Safeguarding against Biased Decision Makers
Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty, Vinayak Gupta, Rahul R et al.
Federated Foundation Models on Heterogeneous Time Series
Shengchao Chen, Guodong Long, Jing Jiang et al.
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
Xi Chen, Zhihui Zhu, Andrew Perrault
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
Xu-Yang Chen, Lu Han, De-Chuan Zhan et al.
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
Yangkun Chen, Kai Yang, Jian Tao et al.
Probabilistic Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
Annie D'souza, Swetha M, Sunita Sarawagi
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng, Tong Wang, Lele Fu et al.
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michele Sebag, Kento Uemura et al.
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
Zhiwei Dong, Mingzhu Shen, Shihao Bai et al.
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
Weilun Feng, Haotong Qin, Chuanguang Yang et al.
Incremental Nyström-based Multiple Kernel Clustering
Yu Feng, Weixuan Liang, Xinhang Wan et al.
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu, Zihan Chen, Yinhan He et al.
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning
Min Gao, Haifeng Zheng, Xinxin Feng et al.
Offline Safe Reinforcement Learning Using Trajectory Classification
Ze Gong, Akshat Kumar, Pradeep Varakantham
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
Jin Han, Yun Hong, Wu-Jun Li
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Jialuo He, Wei Chen, Xiaojin Zhang
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Wanggui He, Siming Fu, Mushui Liu et al.
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
Yifan Hu, Peiyuan Liu, Peng Zhu et al.
Enhance Vision-Language Alignment with Noise
Sida Huang, Hongyuan Zhang, Xuelong Li
Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
Jaeseok Jang, Hyuk-Yoon Kwon
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong, Yunji Kim, Sanghyuk Chun et al.
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
Xuemei Jia, Jiawei Du, Hui Wei et al.
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
Bingbing Jiang, Chenglong Zhang, Xinyan Liang et al.
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
Zhonghua Jiang, Jimin Xu, Shengyu Zhang et al.
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
Zewen Jin, Shengnan Wang, Jiaan Zhu et al.
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
Junghun Kim, Ka Hyun Park, Hoyoung Yoon et al.
Truncated Gaussian Policy for Debiased Continuous Control
Ganghun Lee, Minji Kim, Minsu Lee et al.
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya Zhang et al.
Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach
Victor O. K. Li, Yang Han, Jacqueline C. K. Lam
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval
Wenrui Li, Wei Han, Yandu Chen et al.
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement
Yi Li, Yang Sun, Plamen P Angelov
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
Haoyuan Liang, Xinyu Zhang, Shilei Cao et al.
Label Noise Correction via Fuzzy Learning Machine
Jiye Liang, Yixiao Li, Junbiao Cui
Learning Local Neighborhoods of Non-Gaussian Graphical Models
Sarah Liaw, Rebecca Morrison, Youssef Marzouk et al.
An Enhanced Levenberg--Marquardt Method via Gram Reduction
Chengchang Liu, Luo Luo, John C.S. Lui
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
Siqi Liu, Dongxiao He, Zhizhi Yu et al.
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu, Mengzhou Gao, Pengfei Jiao
Emergence-Inspired Multi-Granularity Causal Learning
Hanwen Luo, Guoxian Yu, Jun Wang et al.
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading
Xiaoling Luo, Qihao Xu, Huisi Wu et al.
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks
Bochen Lyu, He Wang, Zheng Wang et al.
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
The Gradient of Algebraic Model Counting
Jaron Maene, Luc De Raedt
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Hugo Math, Rainer Lienhart, Robin Schön
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John W. Sheppard
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
Rashmeet Kaur Nayyar, Siddharth Srivastava
Learning Deep Dissipative Dynamics
Yuji Okamoto, Ryosuke Kojima
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Iterative Counterfactual Data Augmentation
Mitchell Plyler, Min Chi
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
Zhuang Qi, Lei Meng, Zhaochuan Li et al.
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao, Jiafei Lyu, Kechen Jiao et al.
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino et al.
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu et al.
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Pramit Saha, Divyanshu Mishra, Felix Wagner et al.
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
Sascha Saralajew, Ashish Rana, Thomas Villmann et al.
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Naoki Sato, Hideaki Iiduka
Protecting Model Adaptation from Trojans in the Unlabeled Data
Lijun Sheng, Jian Liang, Ran He et al.
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Shreya Shukla, Nakul Sharma, Manish Gupta et al.
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
Luca Pascal Staus, Christian Komusiewicz, Frank Sommer et al.
Probabilistic Explanations for Linear Models
Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
Mingze Yin, Hanjing Zhou, Yiheng Zhu et al.
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Wentao Yu, Shuo Chen, Yongxin Tong et al.
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
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
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.
Channel Merging: Preserving Specialization for Merged Experts
Mingyang Zhang, Jing Liu, Ganggui Ding et al.
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Xiao Zhang, Sunhao Dai, Jun Xu et al.
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
Qi Zhao, Christian Wressnegger
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.
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Hao Zheng, Zhigang Hu, Liu Yang et al.
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
Guangchong Zhou, Zeren Zhang, Guoliang Fan
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.
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
Yuankun Zu, Shiyu Xia, Xu Yang 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.
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.
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng 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
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu et al.
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
Shaobo Cui, Junyou Li, Luca Mouchel 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.
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long et al.
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao et al.
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu et al.
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
Sieun Hyeon, Kyudan Jung, Jaehee Won 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.
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition
Yujin Kang, Yoon-Sik Cho
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
Dongdong Kuang, Richong Zhang, Zhijie Nie 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.
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
Ximing Li, Yuanchao Dai, Zhiyao Yang 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.
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.
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai et al.
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
Xindian Ma, Wenyuan Liu, Peng Zhang et al.
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
Jordan Meadows, Marco Valentino, André Freitas
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations
Chengfu Ou, Lingyun Xiang, Yangfan Liu
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
Shanghaoran Quan
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
Zhen Tan, Jie Peng, Song Wang et al.
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
Bingbing Wang, Yiming Du, Bin Liang et al.
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
Chenglong Wang, Yang Gan, Yifu Huo et al.
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng et al.
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Wenyi Xiao, Ziwei Huang, Leilei Gan et al.
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
Yuchen Yan, Jin Jiang, Yang Liu et al.
Fine-Tuning Language Models with Collaborative and Semantic Experts
Jiaxi Yang, Binyuan Hui, Min Yang et al.
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
Jiashu Yao, Heyan Huang, Zeming Liu et al.
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks
Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
Hongwei Yuan, Xiu Tang, Ke Chen et al.
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation
Junwei Zhang, Xiaolin Li
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM
Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.
Code-switching Mediated Sentence-level Semantic Learning
Shuai Zhang, Jiangyan Yi, Zhengqi Wen et al.
Mixture of Knowledge Minigraph Agents for Literature Review Generation
Zhi Zhang, Yan Liu, Sheng-hua Zhong et al.
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
Andrew Zhao, Quentin Xu, Matthieu Lin et al.
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
Hanyu Zhao, Li Du, Yiming Ju et al.
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
Liwen Zheng, Chaozhuo Li, Litian Zhang et al.
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
Mengna Zhu, Kaisheng Zeng, Mao Wang et al.
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
Qiming Zhu, Jialun Cao, Yaojie Lu et al.
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si et al.
Temporal Numeric Planning with Patterns
Matteo Cardellini, Enrico Giunchiglia
Approximating Optimal Labelings for Temporal Connectivity
Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
Argyrios Deligkas, Michelle Döring, Eduard Eiben et al.
ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas et al.
Inapproximability of Optimal Multi-Agent Pathfinding Problems
Xing Tan, Alban Grastien
A Matching-Based Algorithm for the Traveling Tournament Problem
Jingyang Zhao, Mingyu Xiao
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Mediation Analysis for Probabilities of Causation
Yuta Kawakami, Jin Tian
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
Hisayoshi Nanmo, Manabu Kuroki
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
Saman Ahmadi, Andrea Raith, Guido Tack et al.
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.