Most Cited 2025 "large audio reasoning models" Papers
21,856 papers found • Page 108 of 110
Conference
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.
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long et al.
Set-Valued Sensitivity Analysis of Deep Neural Networks
Xin Wang, Feilong Wang, Xuegang (Jeff) Ban
Dimension Reduction with Locally Adjusted Graphs
Yingfan Wang, Yiyang Sun, Haiyang Huang et al.
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.
Measuring Cross-Modal Interactions in Multimodal Models
Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.
Spiking Point Transformer for Point Cloud Classification
Peixi Wu, Bosong Chai, Hebei Li et al.
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
Tingting Wu, Zhendong Li, Zhibin Gu et al.
Clean-Label Graph Backdoor Attack in the Node Classification Task
Hui Xia, Xiangwei Zhao, Rui Zhang et al.
FIND: A Framework for Discovering Formulas in Data
Tingxiong Xiao, Yuxiao Cheng, Jinli Suo
One Node One Model: Featuring the Missing-Half for Graph Clustering
Xuanting Xie, Bingheng Li, Erlin Pan et al.
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
Yanchen Xu, Siqi Huang, Hongyuan Zhang et al.
Tensorized Label Learning Based Fast Fuzzy Clustering
Xingyu Xue, Jingjing Xue, Quanxue Gao et al.
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
Yuguang Yan, Canlin Yang, Yuanlin Chen et al.
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
Kaicheng Yang, Tiancheng Gu, Xiang An et al.
Otter: Generating Tests from Issues to Validate SWE Patches
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan et al.
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
Tuan Dam
Position: The Future of Bayesian Prediction Is Prior-Fitted
Samuel Gabriel Müller, Arik Reuter, Noah Hollmann et al.
Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
Mehmet Yiğit Balık, Maksim Sinelnikov, Priscilla Ong et al.
Contrastive Visual Data Augmentation
Yu Zhou, Bingxuan Li, Mohan Tang et al.
From Logits to Hierarchies: Hierarchical Clustering made Simple
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser et al.
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang et al.
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
Elliot Meyerson, Xin Qiu
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
Andong Wang, Yuning Qiu, Zhong Jin et al.
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny et al.
Inverse Optimization via Learning Feasible Regions
Ke Ren, Peyman Mohajerin Esfahani, Angelos Georghiou
GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
Samidha Verma, Arushi Goyal, Ananya Mathur et al.
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradi-Jamei, Heman Shakeri
Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
Zhengrui Guo, Qichen Sun, Jiabo MA et al.
Meta-Black-Box-Optimization through Offline Q-function Learning
Zeyuan Ma, Zhiguang Cao, Zhou Jiang et al.
Determinant Estimation under Memory Constraints and Neural Scaling Laws
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
Inverse Bridge Matching Distillation
Nikita Gushchin, David Li, Daniil Selikhanovych et al.
A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
Chenxi Wang, Linxiao Yang, Zhixian Wang et al.
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
RISHI JINKA, Venkata Sai Mothish Gonugunta, Deepak N. Subramani
SAND: One-Shot Feature Selection with Additive Noise Distortion
Pedram Pad, Hadi Hammoud, Mohamad Dia et al.
Unpaired Point Cloud Completion via Unbalanced Optimal Transport
Taekyung Lee, Jaemoo Choi, Jaewoong Choi et al.
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou, Yizhou WANG, Yibo Yan et al.
Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents
Karina Zainullina, Aleksandr Golubev, Maria Trofimova et al.
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Yeseul Cho, Baekrok Shin, Changmin Kang et al.
Discrete Neural Algorithmic Reasoning
Gleb Rodionov, Liudmila Prokhorenkova
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang et al.
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas, Giannis Iakovidis, Daniel Kane et al.
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
Jiahui Zhu, Kihyun Yu, Dabeen Lee et al.
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
Benson Chen, Tomasz Danel, Gabriel Dreiman et al.
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca et al.
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
Changdae Oh, zhen fang, Shawn Im et al.
Towards a Formal Theory of Representational Compositionality
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio et al.
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
Hongyuan Su, Yu Zheng, Yuan Yuan et al.
Differentiable Structure Learning with Ancestral Constraints
Taiyu Ban, Changxin Rong, Xiangyu Wang et al.
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
Sebastian Farquhar, Vikrant Varma, David Lindner et al.
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
Aditya Taparia, Som Sagar, Ransalu Senanayake
Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability
Yunshu Dai, Jianwei Fei, Fangjun Huang et al.
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
Georgy Noarov, Riccardo Fogliato, Martin A Bertran et al.
When, Where and Why to Average Weights?
Niccolò Ajroldi, Antonio Orvieto, Jonas Geiping
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
Yunlong Hou, Fengzhuo Zhang, Cunxiao Du et al.
Minimum Width for Universal Approximation using Squashable Activation Functions
Jonghyun Shin, Namjun Kim, Geonho Hwang et al.
On the Learnability of Distribution Classes with Adaptive Adversaries
Tosca Lechner, Alex Bie, Gautam Kamath
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Xun Wang, Jing Xu, Franziska Boenisch et al.
Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
B-score: Detecting biases in large language models using response history
An Vo, Mohammad Reza Taesiri, Daeyoung Kim et al.
Discovering Spoofing Attempts on Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
Integration-free Kernels for Equivariant Gaussian Process Modelling
Tim Steinert, David Ginsbourger, August Lykke-Møller et al.
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón, Josu Ceberio, Jose A Lozano
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
Shurui Gui, Xiner Li, Shuiwang Ji
Human-Aligned Image Models Improve Visual Decoding from the Brain
Nona Rajabi, Antonio Ribeiro, Miguel Vasco et al.
Test-Time Learning for Large Language Models
Jinwu Hu, Zitian Zhang, Guohao Chen et al.
The Batch Complexity of Bandit Pure Exploration
Adrienne Tuynman, Rémy Degenne
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe et al.
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
Changshuo Liu, Lingze Zeng, Kaiping Zheng et al.
Private Federated Learning using Preference-Optimized Synthetic Data
Charlie Hou, Mei-Yu Wang, Yige Zhu et al.
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
Haotian Zhai, Connor Lawless, Ellen Vitercik et al.
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
Amer Krivosija, Alexander Munteanu, André Nusser et al.
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
Xu Zhang, Kaidi Xu, Ziqing Hu et al.