Papers
5,479 papers found
ICL-Router: In-Context Learned Model Representations for LLM Routing
Chenxu Wang, Hao Li, Yiqun Zhang et al.
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
Chenyang Wang, Liang Wen, Shousheng Jia et al.
Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs
Heng Wang, Changxing Wu
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
Jiatai Wang, Zhiwei Xu, Di Jin et al.
CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs
Zehua Wang, Shipeng Li, Buzhou Tang
MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation
Zhuo Wang, Wen Wu, Guoqing Wang et al.
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
Zijian Wang, Yanxiang Ma, Chang Xu
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
Xiaolong Wei, Yuehu Dong, Xingliang Wang et al.
Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference
Yangbo Wei, Zhen Huang, Shaoqiang Lu et al.
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
Jian Wu, Hang Yu, Bingchang Liu et al.
Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs
Xinwei Wu, Heng Liu, Xiaohu Zhao et al.
StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion
Yutong Wu, Di Huang, Ruosi Wan et al.
SDA: Steering-Driven Distribution Alignment for Open LLMs Without Fine-Tuning
Wei Xia, Zhi-Hong Deng
Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
Zeguan Xiao, Diyang Dou, Boya Xiong et al.
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
Hefei Xu, Le Wu, Chen Cheng et al.
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
Jun Xu, Xinkai Du, Yu Ao et al.
RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
ST-LLM: Spatial Transcriptomics Embedding with Large Language Models
Zhetao Xu, Xiaohua Wan, Le Li et al.
Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory
Mutian Yang, Jiandong Gao, Ji Wu
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin
Shuo Yang, Qihui Zhang, Yuyang Liu et al.
SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation
Zeyu Yang, Lai Wei, Roman Koshkin et al.
SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention
Bohan Yu, Wei Huang, Kang Liu
MCTS-SQL: Light-Weight LLMs Can Master the Text-to-SQL Through Monte Carlo Tree Search
Shuozhi Yuan, Liming Chen, Miaomiao Yuan et al.
Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective
Bo-Wen Zhang, Yan Yan, Guang Liu et al.
Collaborative LLM Numerical Reasoning with Local Data Protection
Min Zhang, Yuzhe Lu, Yun Zhou et al.