Papers
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.
Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty
Zeyu Shi, Ziming Wang, Tianyu Chen et al.
Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
Yi Shi, Wenlong Meng, Zhenyuan Guo et al.
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
Weikang Shi, Houxing Ren, Junting Pan et al.
ProFuser: Progressive Fusion of Large Language Models
Tianyuan Shi, Fanqi Wan, Canbin Huang et al.
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
Luohe Shi, Zuchao Li, Lefei Zhang et al.
Perturb Your Data: Paraphrase-Guided Training Data Watermarking
Pranav Shetty, Mirazul Haque, Petr Babkin et al.
Are We on the Right Way to Assess Document Retrieval-Augmented Generation?
Wenxuan Shen, Mingjia Wang, Yaochen Wang et al.
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
Tiesunlong Shen, Rui Mao, Jin Wang et al.
Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering
Ao Shen, Ruizhang Huang, Jingjing Xue et al.
From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework
Yuhu Shang, Xiang Cheng, Yimeng Ren et al.
AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs
Debdeep Sanyal, Manodeep Ray, Murari Mandal
Bonsai: Interpretable Tree-Adaptive Grounded Reasoning
Kate Sanders, Benjamin Van Durme
Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa et al.
Incorporating Token Importance in Multi-Vector Retrieval
Archish S, Ankit Garg, Kirankumar Shiragur et al.