Verbal Process Supervision Elicits Better Coding Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Hao-Yuan, Huang, Cheng-Pong, Yao, Jui-Ming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024)
by: Wang, Xingyao, et al.
Published: (2024)
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
by: Huang, Hengguan, et al.
Published: (2024)
by: Huang, Hengguan, et al.
Published: (2024)
Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
by: Chen, Hao-Yuan
Published: (2026)
by: Chen, Hao-Yuan
Published: (2026)
Eliciting Language Model Behaviors with Investigator Agents
by: Li, Xiang Lisa, et al.
Published: (2025)
by: Li, Xiang Lisa, et al.
Published: (2025)
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
Verbal Werewolf: Engage Users with Verbalized Agentic Werewolf Game Framework
by: Fan, Qihui, et al.
Published: (2025)
by: Fan, Qihui, et al.
Published: (2025)
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
by: Yang, Rui, et al.
Published: (2026)
by: Yang, Rui, et al.
Published: (2026)
SynthAgent: Adapting Web Agents with Synthetic Supervision
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
Inference and Verbalization Functions During In-Context Learning
by: Tao, Junyi, et al.
Published: (2024)
by: Tao, Junyi, et al.
Published: (2024)
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks
by: Hegazy, Mahmood
Published: (2024)
by: Hegazy, Mahmood
Published: (2024)
Hierarchical Attention Generates Better Proofs
by: Chen, Jianlong, et al.
Published: (2025)
by: Chen, Jianlong, et al.
Published: (2025)
ProgRM: Build Better GUI Agents with Progress Rewards
by: Zhang, Danyang, et al.
Published: (2025)
by: Zhang, Danyang, et al.
Published: (2025)
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
by: Lu, Yifei, et al.
Published: (2025)
by: Lu, Yifei, et al.
Published: (2025)
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
RLVF: Learning from Verbal Feedback without Overgeneralization
by: Stephan, Moritz, et al.
Published: (2024)
by: Stephan, Moritz, et al.
Published: (2024)
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)
by: Han, Pengrui, et al.
Published: (2026)
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning
by: Huang, Wei, et al.
Published: (2026)
by: Huang, Wei, et al.
Published: (2026)
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models
by: Pan, Haojie, et al.
Published: (2023)
by: Pan, Haojie, et al.
Published: (2023)
How do LLMs Compute Verbal Confidence
by: Kumaran, Dharshan, et al.
Published: (2026)
by: Kumaran, Dharshan, et al.
Published: (2026)
POSS: Position Specialist Generates Better Draft for Speculative Decoding
by: Huang, Langlin, et al.
Published: (2025)
by: Huang, Langlin, et al.
Published: (2025)
Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)
by: Nguyen, Quang Anh, et al.
Published: (2024)
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)
by: Jiang, Weisen, et al.
Published: (2023)
Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)
by: Rezaei, MohammadHossein, et al.
Published: (2025)
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
by: Luo, Renjie, et al.
Published: (2025)
by: Luo, Renjie, et al.
Published: (2025)
Process Reinforcement through Implicit Rewards
by: Cui, Ganqu, et al.
Published: (2025)
by: Cui, Ganqu, et al.
Published: (2025)
AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
by: Du, Shangheng, et al.
Published: (2025)
by: Du, Shangheng, et al.
Published: (2025)
Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning
by: Ding, Fei, et al.
Published: (2026)
by: Ding, Fei, et al.
Published: (2026)
Supervised Fine-Tuning as Inverse Reinforcement Learning
by: Sun, Hao
Published: (2024)
by: Sun, Hao
Published: (2024)
Adaptive Elicitation of Latent Information Using Natural Language
by: Wang, Jimmy, et al.
Published: (2025)
by: Wang, Jimmy, et al.
Published: (2025)
Weak-to-Strong Elicitation via Mismatched Wrong Drafts
by: Deng, Wei
Published: (2026)
by: Deng, Wei
Published: (2026)
On Eliciting Syntax from Language Models via Hashing
by: Wang, Yiran, et al.
Published: (2024)
by: Wang, Yiran, et al.
Published: (2024)
Eliciting Latent Knowledge from Quirky Language Models
by: Mallen, Alex, et al.
Published: (2023)
by: Mallen, Alex, et al.
Published: (2023)
Reasoning Elicitation in Language Models via Counterfactual Feedback
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
ATLaS: Agent Tuning via Learning Critical Steps
by: Chen, Zhixun, et al.
Published: (2025)
by: Chen, Zhixun, et al.
Published: (2025)
Better LLM Reasoning via Dual-Play
by: Zhang, Zhengxin, et al.
Published: (2025)
by: Zhang, Zhengxin, et al.
Published: (2025)
When Does a Language Model Commit? A Finite-Answer Theory of Pre-Verbalization Commitment
by: Zhang, Long, et al.
Published: (2026)
by: Zhang, Long, et al.
Published: (2026)
Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)
by: Munkhbat, Tergel, et al.
Published: (2025)
Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
by: Shang, Yu, et al.
Published: (2024)
by: Shang, Yu, et al.
Published: (2024)
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)
by: Casademunt, Helena, et al.
Published: (2026)
MAVEN: Multi-Agent Verification-Elaboration Network with In-Step Epistemic Auditing
by: Yao, Yinsheng, et al.
Published: (2026)
by: Yao, Yinsheng, et al.
Published: (2026)
Similar Items
-
Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024) -
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
by: Huang, Hengguan, et al.
Published: (2024) -
Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
by: Chen, Hao-Yuan
Published: (2026) -
Eliciting Language Model Behaviors with Investigator Agents
by: Li, Xiang Lisa, et al.
Published: (2025) -
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
by: Liu, Yong, et al.
Published: (2024)