Papers
Confidence-guided Refinement Reasoning for Zero-shot Question Answering
Youwon Jang, Woo Suk Choi, Minjoon Jung et al.
GraDaSE: Graph-Based Dataset Search with Examples
Jing He, Mingyang Lv, Qing Shi et al.
Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
Chengfeng Zhao, Shizhu He, Shanshan Jiang et al.
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
Zinan Tang, Xin Gao, Qizhi Pei et al.
R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models
Huixuan Zhang, Xiaojun Wan
CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
Anant Khandelwal, Manish Gupta, Puneet Agrawal
BTS: Harmonizing Specialized Experts into a Generalist LLM
Qizhen Zhang, Prajjwal Bhargava, Chloe Bi et al.
Route Sparse Autoencoder to Interpret Large Language Models
Wei Shi, Sihang Li, Tao Liang et al.
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
Hwan Chang, Yumin Kim, Yonghyun Jun et al.
ViLBench: A Suite for Vision-Language Process Reward Modeling
Haoqin Tu, Weitao Feng, Hardy Chen et al.
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
Jikai Wang, Zhenxu Tian, Juntao Li et al.
Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases
Bufan Gao, Elisa Kreiss
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
Tianle Gu, Zongqi Wang, Kexin Huang et al.
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
Xujia Wang, Yunjia Qi, Bin Xu
Multimodal Language Models See Better When They Look Shallower
Haoran Chen, Junyan Lin, Xinghao Chen et al.
FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
Hengxing Cai, Jinhan Dong, Jingjun Tan et al.
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs
Keer Lu, Keshi Zhao, Zhuoran Zhang et al.
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
Enci Zhang, Xingang Yan, Wei Lin et al.
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
Haozhan Shen, Kangjia Zhao, Tiancheng Zhao et al.
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
Songshuo Lu, Hua Wang, Yutian Rong et al.
Audio-centric Video Understanding Benchmark without Text Shortcut
Yudong Yang, Jimin Zhuang, Guangzhi Sun et al.
SPE Attention: Making Attention Equivariant to Semantic-Preserving Permutation for Code Processing
Chengyu Jiao, Shuhao Chen, Yu Zhang
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
Runyu Peng, Yunhua Zhou, Kai Lv et al.
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
Yiding Wang, Fanxu Meng, Xuefeng Zhang et al.