Steering Large Language Models between Code Execution and Textual Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yongchao, Jhamtani, Harsh, Sharma, Srinagesh, Fan, Chuchu, Wang, Chi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models
by: Chen, Yongchao, et al.
Published: (2023)
by: Chen, Yongchao, et al.
Published: (2023)
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
by: Hao, Yilun, et al.
Published: (2024)
by: Hao, Yilun, et al.
Published: (2024)
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
LM Agents for Coordinating Multi-User Information Gathering
by: Jhamtani, Harsh, et al.
Published: (2025)
by: Jhamtani, Harsh, et al.
Published: (2025)
The Impact of Steering Large Language Models with Persona Vectors in Educational Applications
by: Wu, Yongchao, et al.
Published: (2026)
by: Wu, Yongchao, et al.
Published: (2026)
Natural Language Decomposition and Interpretation of Complex Utterances
by: Jhamtani, Harsh, et al.
Published: (2023)
by: Jhamtani, Harsh, et al.
Published: (2023)
NExT: Teaching Large Language Models to Reason about Code Execution
by: Ni, Ansong, et al.
Published: (2024)
by: Ni, Ansong, et al.
Published: (2024)
Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
by: Hao, Yilun, et al.
Published: (2025)
by: Hao, Yilun, et al.
Published: (2025)
Interpreting User Requests in the Context of Natural Language Standing Instructions
by: Moghe, Nikita, et al.
Published: (2023)
by: Moghe, Nikita, et al.
Published: (2023)
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
by: Gan, Woody Haosheng, et al.
Published: (2025)
by: Gan, Woody Haosheng, et al.
Published: (2025)
Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
by: Hu, Michael Y., et al.
Published: (2025)
by: Hu, Michael Y., et al.
Published: (2025)
Learning to Retrieve Iteratively for In-Context Learning
by: Chen, Yunmo, et al.
Published: (2024)
by: Chen, Yunmo, et al.
Published: (2024)
ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code
by: Xie, Jian, et al.
Published: (2025)
by: Xie, Jian, et al.
Published: (2025)
Reliable Control-Point Selection for Steering Reasoning in Large Language Models
by: Zhuang, Haomin, et al.
Published: (2026)
by: Zhuang, Haomin, et al.
Published: (2026)
Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning
by: Hua, Jiacheng, et al.
Published: (2026)
by: Hua, Jiacheng, et al.
Published: (2026)
COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics
by: Sharma, Kartik, et al.
Published: (2026)
by: Sharma, Kartik, et al.
Published: (2026)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
by: Chen, Yongchao, et al.
Published: (2023)
by: Chen, Yongchao, et al.
Published: (2023)
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
Psychological Steering of Large Language Models
by: Blas, Leonardo, et al.
Published: (2026)
by: Blas, Leonardo, et al.
Published: (2026)
Code Execution as Grounded Supervision for LLM Reasoning
by: Jung, Dongwon, et al.
Published: (2025)
by: Jung, Dongwon, et al.
Published: (2025)
Premise Order Matters in Reasoning with Large Language Models
by: Chen, Xinyun, et al.
Published: (2024)
by: Chen, Xinyun, et al.
Published: (2024)
Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks
by: Xu, Yifei, et al.
Published: (2025)
by: Xu, Yifei, et al.
Published: (2025)
Efficient Tuning and Inference for Large Language Models on Textual Graphs
by: Zhu, Yun, et al.
Published: (2024)
by: Zhu, Yun, et al.
Published: (2024)
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
by: Chen, Yongchao, et al.
Published: (2024)
by: Chen, Yongchao, et al.
Published: (2024)
Steering When Necessary: Flexible Steering Large Language Models with Backtracking
by: Cheng, Zifeng, et al.
Published: (2025)
by: Cheng, Zifeng, et al.
Published: (2025)
LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models
by: Yang, Jingyuan, et al.
Published: (2025)
by: Yang, Jingyuan, et al.
Published: (2025)
Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)
by: Li, Yichuan, et al.
Published: (2024)
Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
by: Li, Yawei, et al.
Published: (2026)
by: Li, Yawei, et al.
Published: (2026)
JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
by: Chen, Renmiao, et al.
Published: (2025)
by: Chen, Renmiao, et al.
Published: (2025)
Test-Time Alignment for Large Language Models via Textual Model Predictive Control
by: Wang, Kuang-Da, et al.
Published: (2025)
by: Wang, Kuang-Da, et al.
Published: (2025)
Evaluating and Steering Modality Preferences in Multimodal Large Language Model
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models
by: Kohli, Harsh, et al.
Published: (2024)
by: Kohli, Harsh, et al.
Published: (2024)
StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
STU-PID: Steering Token Usage via PID Controller for Efficient Large Language Model Reasoning
by: Bharadwaj, Aryasomayajula Ram
Published: (2025)
by: Bharadwaj, Aryasomayajula Ram
Published: (2025)
PRIME: Policy-Reinforced Iterative Multi-agent Execution for Algorithmic Reasoning in Large Language Models
by: Xu, Jiawei, et al.
Published: (2026)
by: Xu, Jiawei, et al.
Published: (2026)
Compositional Steering of Large Language Models with Steering Tokens
by: Radevski, Gorjan, et al.
Published: (2026)
by: Radevski, Gorjan, et al.
Published: (2026)
Similar Items
-
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
by: Chen, Yongchao, et al.
Published: (2025) -
NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models
by: Chen, Yongchao, et al.
Published: (2023) -
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation
by: Chen, Yongchao, et al.
Published: (2025) -
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
by: Hao, Yilun, et al.
Published: (2024) -
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)