Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning Paper • 2510.24320 • Published Oct 28 • 18
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels Paper • 2509.16596 • Published Sep 20 • 14
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10 • 56
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios Paper • 2506.13977 • Published Jun 11 • 10
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments Paper • 2508.08791 • Published Aug 12 • 16
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric Paper • 2502.17184 • Published Feb 24 • 1
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models Paper • 2505.07591 • Published May 12 • 11
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models Paper • 2303.10420 • Published Mar 18, 2023 • 1
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20 • 109
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use Paper • 2501.02506 • Published Jan 5 • 11
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction Paper • 2304.08085 • Published Apr 17, 2023
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios Paper • 2401.00741 • Published Jan 1, 2024 • 1
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback Paper • 2401.11458 • Published Jan 21, 2024 • 2
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation Paper • 2402.11251 • Published Feb 17, 2024 • 1
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition Paper • 2402.14568 • Published Feb 22, 2024 • 1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition Paper • 2406.11192 • Published Jun 17, 2024
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance Paper • 2406.18118 • Published Jun 26, 2024
Empirical Insights on Fine-Tuning Large Language Models for Question-Answering Paper • 2409.15825 • Published Sep 24, 2024 • 1
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use Paper • 2412.15495 • Published Dec 20, 2024 • 1