SELF: Self-Evolution with Language Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Jianqiao, Zhong, Wanjun, Huang, Wenyong, Wang, Yufei, Zhu, Qi, Mi, Fei, Wang, Baojun, Wang, Weichao, Zeng, Xingshan, Shang, Lifeng, Jiang, Xin, Liu, Qun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
Data Management For Training Large Language Models: A Survey
by: Wang, Zige, et al.
Published: (2023)
by: Wang, Zige, et al.
Published: (2023)
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
by: Jiang, Yuxin, et al.
Published: (2023)
by: Jiang, Yuxin, et al.
Published: (2023)
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
by: Huang, Shijue, et al.
Published: (2024)
by: Huang, Shijue, et al.
Published: (2024)
Learning to Edit: Aligning LLMs with Knowledge Editing
by: Jiang, Yuxin, et al.
Published: (2024)
by: Jiang, Yuxin, et al.
Published: (2024)
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Entropy Centroids as Intrinsic Rewards for Test-Time Scaling
by: Zhao, Wenshuo, et al.
Published: (2026)
by: Zhao, Wenshuo, et al.
Published: (2026)
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2024)
by: Kwan, Wai-Chung, et al.
Published: (2024)
ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
by: Zeng, Xingshan, et al.
Published: (2026)
by: Zeng, Xingshan, et al.
Published: (2026)
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning
by: Wang, Zezhong, et al.
Published: (2025)
by: Wang, Zezhong, et al.
Published: (2025)
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
by: Wang, Zezhong, et al.
Published: (2024)
by: Wang, Zezhong, et al.
Published: (2024)
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2023)
by: Kwan, Wai-Chung, et al.
Published: (2023)
EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
by: Gao, Fan, et al.
Published: (2025)
by: Gao, Fan, et al.
Published: (2025)
DAST: Difficulty-Aware Self-Training on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)
by: Xue, Boyang, et al.
Published: (2025)
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
by: Jiang, Yuxin, et al.
Published: (2024)
by: Jiang, Yuxin, et al.
Published: (2024)
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
by: Wang, Zezhong, et al.
Published: (2024)
by: Wang, Zezhong, et al.
Published: (2024)
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)
by: Yu, Erxin, et al.
Published: (2025)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)
by: Jiang, Yuxin, et al.
Published: (2026)
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
by: Du, Yiming, et al.
Published: (2025)
by: Du, Yiming, et al.
Published: (2025)
ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)
by: Xue, Boyang, et al.
Published: (2025)
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
by: Zhou, Jiawei, et al.
Published: (2022)
by: Zhou, Jiawei, et al.
Published: (2022)
Group Pattern Selection Optimization: Let LRMs Pick the Right Pattern for Reasoning
by: Wang, Hanbin, et al.
Published: (2026)
by: Wang, Hanbin, et al.
Published: (2026)
Teaching Large Reasoning Models Effective Reflection
by: Wang, Hanbin, et al.
Published: (2026)
by: Wang, Hanbin, et al.
Published: (2026)
Prompt-Based Length Controlled Generation with Multiple Control Types
by: Jie, Renlong, et al.
Published: (2024)
by: Jie, Renlong, et al.
Published: (2024)
Language Models and Cycle Consistency for Self-Reflective Machine Translation
by: Wangni, Jianqiao
Published: (2024)
by: Wangni, Jianqiao
Published: (2024)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
InfMem: Learning System-2 Memory Control for Long-Context Agent
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
by: Zhou, Jianpeng, et al.
Published: (2023)
by: Zhou, Jianpeng, et al.
Published: (2023)
From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
by: Huang, Yuzhen, et al.
Published: (2025)
by: Huang, Yuzhen, et al.
Published: (2025)
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
by: Xu, Minrui, et al.
Published: (2026)
by: Xu, Minrui, et al.
Published: (2026)
SELF-EMO: Emotional Self-Evolution from Recognition to Consistent Expression
by: Zhang, Shaowei, et al.
Published: (2026)
by: Zhang, Shaowei, et al.
Published: (2026)
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
by: Du, Yiming, et al.
Published: (2024)
by: Du, Yiming, et al.
Published: (2024)
Confidence-Orchestrated Self-Evolution against Uncertain LLM Feedback
by: Wei, Bowen, et al.
Published: (2026)
by: Wei, Bowen, et al.
Published: (2026)
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
by: Wang, Lingzhi, et al.
Published: (2024)
by: Wang, Lingzhi, et al.
Published: (2024)
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
by: Wan, Zhongwei, et al.
Published: (2022)
by: Wan, Zhongwei, et al.
Published: (2022)
Probing Large Language Models from A Human Behavioral Perspective
by: Wang, Xintong, et al.
Published: (2023)
by: Wang, Xintong, et al.
Published: (2023)
Preparing Lessons for Progressive Training on Language Models
by: Pan, Yu, et al.
Published: (2024)
by: Pan, Yu, et al.
Published: (2024)
Similar Items
-
YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024) -
Data Management For Training Large Language Models: A Survey
by: Wang, Zige, et al.
Published: (2023) -
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
by: Jiang, Yuxin, et al.
Published: (2023) -
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
by: Huang, Shijue, et al.
Published: (2024) -
Learning to Edit: Aligning LLMs with Knowledge Editing
by: Jiang, Yuxin, et al.
Published: (2024)