Papers
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Che Liu, Cheng Ouyang, Zhongwei Wan et al.
SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data
Jinsung Yoon, Junhao Zeng, Sercan O Arik
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering
Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini et al.
FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval
Ying Li, Mengyu Wang, Miguel de Carvalho et al.
Efficiently Editing Mixture-of-Experts Models with Compressed Experts
Yifei He, Yang Liu, Chen Liang et al.
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation
Yuanhao Ding, Esteban Garces Arias, Meimingwei Li et al.
EmByte: Decomposition and Compression Learning for Small yet Private NLP
Shenglan Li, Jia Xu, Mengjiao Zhang
Reinforcement Learning with Supervised Alignment
João Luís Lins, Jia Xu
Turning the Tide: Repository-based Code Reflection
Wei Zhang, Jian Yang, Jiaxi Yang et al.
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
Junjie Xiong, Changjia Zhu, Shuhang Lin et al.
Discourse Heuristics For Paradoxically Moral Self-Correction
Guangliang Liu, Zimo Qi, Xitong Zhang et al.
Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
Guangliang Liu, Zimo Qi, Xitong Zhang et al.
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
Qirun Dai, Dylan Zhang, Jiaqi W. Ma et al.
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
Zeping Yu, Sophia Ananiadou
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Dohyeon Lee, Yeonseok Jeong, Seung-won Hwang
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
Sohee Yang, Sang-Woo Lee, Nora Kassner et al.
LM2Protein: A Structure-to-Token Protein Large Language Model
Chang Zhou, Yuheng Shan, Pengan Chen et al.
PersonaGym: Evaluating Persona Agents and LLMs
Vinay Samuel, Henry Peng Zou, Yue Zhou et al.
MADD: Multi-Agent Drug Discovery Orchestra
Gleb Vitalevich Solovev, Alina Borisovna Zhidkovskaya, Anastasia Orlova et al.
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals
Peixuan Han, Cheng Qian, Xiusi Chen et al.
Beyond the Textual: Generating Coherent Visual Options for MCQs
Wanqiang Wang, Longzhu He, Wei Zheng
Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
Kangda Wei, Hasnat Md Abdullah, Ruihong Huang
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
Yingyu Liang, Heshan Liu, Zhenmei Shi et al.
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
Yihang Wang, Xu Huang, Bowen Tian et al.
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Danlong Yuan, Jiahao Liu, Bei Li et al.