VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models Paper • 2509.19803 • Published 5 days ago • 112
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning Paper • 2508.21104 • Published Aug 28 • 31
RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving Paper • 2505.11893 • Published May 17 • 1
AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction Paper • 2409.01854 • Published Sep 3, 2024 • 1
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling Paper • 2504.03775 • Published Apr 3
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy Paper • 2412.08434 • Published Dec 11, 2024 • 1
ToNER: Type-oriented Named Entity Recognition with Generative Language Model Paper • 2404.09145 • Published Apr 14, 2024 • 1
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models Paper • 2405.04960 • Published May 8, 2024 • 1
Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization Paper • 2405.17067 • Published May 27, 2024 • 1
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding Paper • 2404.04293 • Published Apr 4, 2024 • 1
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction Paper • 2406.11455 • Published Jun 17, 2024 • 1
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation Paper • 2405.16552 • Published May 26, 2024 • 1