Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Abhijit, Wu, Zoey, Suley, Mohit |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein Distance
by: Chen, Xinzhu, et al.
Published: (2026)
by: Chen, Xinzhu, et al.
Published: (2026)
When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification
by: Zhao, Jiale, et al.
Published: (2026)
by: Zhao, Jiale, et al.
Published: (2026)
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
by: Guo, Yiran, et al.
Published: (2025)
by: Guo, Yiran, et al.
Published: (2025)
InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
by: Yang, Matthew Y. R., et al.
Published: (2026)
by: Yang, Matthew Y. R., et al.
Published: (2026)
Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers
by: Hu, Senkang, et al.
Published: (2026)
by: Hu, Senkang, et al.
Published: (2026)
Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization
by: Khandoga, Mykola, et al.
Published: (2026)
by: Khandoga, Mykola, et al.
Published: (2026)
CaRT: Teaching LLM Agents to Know When They Know Enough
by: Liu, Grace, et al.
Published: (2025)
by: Liu, Grace, et al.
Published: (2025)
CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment
by: Xie, Guofu, et al.
Published: (2025)
by: Xie, Guofu, et al.
Published: (2025)
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)
by: Zhang, Kaiyi, et al.
Published: (2026)
VinePPO: Refining Credit Assignment in RL Training of LLMs
by: Kazemnejad, Amirhossein, et al.
Published: (2024)
by: Kazemnejad, Amirhossein, et al.
Published: (2024)
Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning
by: Li, Ziheng, et al.
Published: (2026)
by: Li, Ziheng, et al.
Published: (2026)
Execution-Grounded Credit Assignment for GRPO in Code Generation
by: Kumar, Abhijit, et al.
Published: (2026)
by: Kumar, Abhijit, et al.
Published: (2026)
Know When You're Wrong: Aligning Confidence with Correctness for LLM Error Detection
by: Xiaohu, Xie, et al.
Published: (2026)
by: Xiaohu, Xie, et al.
Published: (2026)
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)
by: Jiang, Xitai, et al.
Published: (2026)
Reducing Credit Assignment Variance via Counterfactual Reasoning Paths
by: Ding, Fei, et al.
Published: (2026)
by: Ding, Fei, et al.
Published: (2026)
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools
by: Lymperopoulos, Panagiotis, et al.
Published: (2025)
by: Lymperopoulos, Panagiotis, et al.
Published: (2025)
Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
by: Kumar, Sayantan, et al.
Published: (2026)
by: Kumar, Sayantan, et al.
Published: (2026)
Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing
by: Mitton, Joshua, et al.
Published: (2025)
by: Mitton, Joshua, et al.
Published: (2025)
DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2026)
by: Monsefi, Amin Karimi, et al.
Published: (2026)
When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals
by: Wu, Rui, et al.
Published: (2026)
by: Wu, Rui, et al.
Published: (2026)
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
by: Wang, Jingwei, et al.
Published: (2025)
by: Wang, Jingwei, et al.
Published: (2025)
What Would You Ask When You First Saw $a^2+b^2=c^2$? Evaluating LLM on Curiosity-Driven Questioning
by: Javaji, Shashidhar Reddy, et al.
Published: (2024)
by: Javaji, Shashidhar Reddy, et al.
Published: (2024)
Nudging the Boundaries of LLM Reasoning
by: Chen, Justin Chih-Yao, et al.
Published: (2025)
by: Chen, Justin Chih-Yao, et al.
Published: (2025)
Stabilizing Efficient Reasoning with Step-Level Advantage Selection
by: Wang, Han, et al.
Published: (2026)
by: Wang, Han, et al.
Published: (2026)
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
by: Lu, Jiarui, et al.
Published: (2024)
by: Lu, Jiarui, et al.
Published: (2024)
Generative Data Refinement: Just Ask for Better Data
by: Jiang, Minqi, et al.
Published: (2025)
by: Jiang, Minqi, et al.
Published: (2025)
MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM
by: Kwon, Omin, et al.
Published: (2026)
by: Kwon, Omin, et al.
Published: (2026)
Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential
by: Samragh, Mohammad, et al.
Published: (2025)
by: Samragh, Mohammad, et al.
Published: (2025)
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
by: Qin, Guanghui, et al.
Published: (2021)
by: Qin, Guanghui, et al.
Published: (2021)
TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training
by: Yang, Jinluan, et al.
Published: (2026)
by: Yang, Jinluan, et al.
Published: (2026)
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
by: McGovern, Hope, et al.
Published: (2026)
by: McGovern, Hope, et al.
Published: (2026)
OptLLM: Optimal Assignment of Queries to Large Language Models
by: Liu, Yueyue, et al.
Published: (2024)
by: Liu, Yueyue, et al.
Published: (2024)
To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
by: Sedova, Anastasiia, et al.
Published: (2024)
by: Sedova, Anastasiia, et al.
Published: (2024)
Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL
by: Dai, Yaxun, et al.
Published: (2026)
by: Dai, Yaxun, et al.
Published: (2026)
CreditAudit: 2$^\text{nd}$ Dimension for LLM Evaluation and Selection
by: Song, Yiliang, et al.
Published: (2026)
by: Song, Yiliang, et al.
Published: (2026)
MASCA: LLM based-Multi Agents System for Credit Assessment
by: Jajoo, Gautam, et al.
Published: (2025)
by: Jajoo, Gautam, et al.
Published: (2025)
Soundness-Aware Level: A Microscopic Signature that Predicts LLM Reasoning Potential
by: Wu, Xuansheng, et al.
Published: (2025)
by: Wu, Xuansheng, et al.
Published: (2025)
STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents
by: Li, Jing-Jing, et al.
Published: (2025)
by: Li, Jing-Jing, et al.
Published: (2025)
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
by: Zeng, Yirong, et al.
Published: (2025)
by: Zeng, Yirong, et al.
Published: (2025)
Better To Ask in English? Evaluating Factual Accuracy of Multilingual LLMs in English and Low-Resource Languages
by: Rohera, Pritika, et al.
Published: (2025)
by: Rohera, Pritika, et al.
Published: (2025)
Similar Items
-
Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein Distance
by: Chen, Xinzhu, et al.
Published: (2026) -
When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification
by: Zhao, Jiale, et al.
Published: (2026) -
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
by: Guo, Yiran, et al.
Published: (2025) -
InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
by: Yang, Matthew Y. R., et al.
Published: (2026) -
Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers
by: Hu, Senkang, et al.
Published: (2026)