Papers
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh et al.
Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models
Zhouxing Tan, Hanlin Xue, Yulong Wan et al.
RAG-R1:Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
Zhiwen Tan, Jiaming Huang, Qintong Wu et al.
PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
Zhehao Tan, Yihan Jiao, Dan Yang et al.
Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings
Cong Tan, Yongqi Shao, Hong Huo et al.
Improving Value-based Process Verifier via Low-Cost Variance Reduction
Zetian Sun, Dongfang Li, Baotian Hu et al.
CGMIS: Concept-Graph Based Multi-Hop Instructions Synthesis for Enhancing Long-Context Reasoning
Zechen Sun, Zecheng Tang, Juntao Li et al.
Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning
Yiliu Sun, Zicheng Zhao, Yang Wei et al.
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
Yanming Sun, Runzhe Zhan, Chi Seng Cheang et al.
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
Weiwei Sun, Shengyu Feng, Shanda Li et al.
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
Qiyao Sun, Xingming Li, Xixiang He et al.
Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems
Kai Sun, Wenqiang Li, Bo Dong et al.
Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
Kai Sun, Yuxin Lin, Bo Dong et al.
Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs
Chenghao Sun, Zhen Huang, Yonggang Zhang et al.
ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment
Yize Sui, Yan Xu, Kun Hu et al.
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
Puzhen Su, Haoran Yin, Miao Yongzhu et al.
CP-Router: An Uncertainty-Aware Router Between LLM and LRM
Jiayuan Su, Fulin Lin, Zhaopeng Feng et al.
Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor
Dongyu Su, Yimin Xiao, Tongguan Wang et al.
Optimization and Robustness-Informed Membership Inference Attacks for LLMs
Zichen Song, Qixin Zhang, Ming Li et al.
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
Yuerong Song, Xiaoran Liu, Ruixiao Li et al.
MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering
Seokwon Song, Minsu Park, Gunhee Kim
Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction
Ruike Song, Zeen Song, Huijie Guo et al.
BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives
Aarush Sinha, Pavan Kumar S, Roshan Balaji et al.
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Shuzheng Si, Haozhe Zhao, Cheng Gao et al.
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
Shreya Shukla, Aditya Sriram, Milinda Kuppur Narayanaswamy et al.