Papers
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.
RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions
Yanchi Ru, Yue Huang, Xiangliang Zhang
Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Baldwin et al.
Speech-Aware Long Context Pruning and Integration for Contextualized Automatic Speech Recognition
Yiming Rong, Yixin Zhang, Ziyi Wang et al.
PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement
Xiaobin Rong, Qinwen Hu, Mansur Yesilbursa et al.
Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model
Xianjin Rong, Donghui Hu
SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
A Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis
Dongning Rao, Yunbiao Zeng, Zhihua Jiang et al.
Are Language Models Any Good at Density Modeling?
Sriram Ranga, Sai Shashank Bedampeta, Rui Mao et al.
Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
Shreyas Rajesh, Pavan Holur, Chenda Duan et al.
RetrySQL: Text-to-SQL Training with Retry Data for Self-Correcting Query Generation
Alicja Rączkowska, Riccardo Belluzzo, Piotr Zieliński et al.