On the Ability of Transformers to Verify Plans
Fuente:
arXiv
Saved in:
| Main Authors: | Sarrof, Yash, Du, Yupei, Stein, Katharina, Koller, Alexander, Thiébaux, Sylvie, Hahn, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Barriers to Universal Reasoning With Transformers (And How to Overcome Them)
by: Kraus, Oliver, et al.
Published: (2026)
by: Kraus, Oliver, et al.
Published: (2026)
Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
by: Jobanputra, Mayank, et al.
Published: (2025)
by: Jobanputra, Mayank, et al.
Published: (2025)
The Expressive Capacity of State Space Models: A Formal Language Perspective
by: Sarrof, Yash, et al.
Published: (2024)
by: Sarrof, Yash, et al.
Published: (2024)
Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
by: Stein, Katharina, et al.
Published: (2023)
by: Stein, Katharina, et al.
Published: (2023)
ADaPT: As-Needed Decomposition and Planning with Language Models
by: Prasad, Archiki, et al.
Published: (2023)
by: Prasad, Archiki, et al.
Published: (2023)
Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
by: Stein, Katharina, et al.
Published: (2025)
by: Stein, Katharina, et al.
Published: (2025)
Learning Efficiency Meets Symmetry Breaking
by: Bai, Yingbin, et al.
Published: (2025)
by: Bai, Yingbin, et al.
Published: (2025)
Discovering Interpretable Algorithms by Decompiling Transformers to RASP
by: Huang, Xinting, et al.
Published: (2026)
by: Huang, Xinting, et al.
Published: (2026)
Understanding Emergent Abilities of Language Models from the Loss Perspective
by: Du, Zhengxiao, et al.
Published: (2024)
by: Du, Zhengxiao, et al.
Published: (2024)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
by: Seo, Wooseok, et al.
Published: (2025)
by: Seo, Wooseok, et al.
Published: (2025)
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
by: Das, Sourya Dipta, et al.
Published: (2024)
by: Das, Sourya Dipta, et al.
Published: (2024)
Unlocking Continual Learning Abilities in Language Models
by: Du, Wenyu, et al.
Published: (2024)
by: Du, Wenyu, et al.
Published: (2024)
Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
by: Li, Miao, et al.
Published: (2026)
by: Li, Miao, et al.
Published: (2026)
SCI-Verifier: Scientific Verifier with Thinking
by: Zheng, Shenghe, et al.
Published: (2025)
by: Zheng, Shenghe, et al.
Published: (2025)
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
by: Huang, Xinting, et al.
Published: (2025)
by: Huang, Xinting, et al.
Published: (2025)
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)
by: Yang, Yu, et al.
Published: (2024)
Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards
by: Pavlenko, Kirill, et al.
Published: (2026)
by: Pavlenko, Kirill, et al.
Published: (2026)
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
by: Hu, Mengkang, et al.
Published: (2024)
by: Hu, Mengkang, et al.
Published: (2024)
References Improve LLM Alignment in Non-Verifiable Domains
by: Shi, Kejian, et al.
Published: (2026)
by: Shi, Kejian, et al.
Published: (2026)
Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning
by: Fouilhé, Guilhem, et al.
Published: (2026)
by: Fouilhé, Guilhem, et al.
Published: (2026)
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
by: Clinton, Joseph, et al.
Published: (2024)
by: Clinton, Joseph, et al.
Published: (2024)
Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)
by: Yan, Kai, et al.
Published: (2026)
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training
by: Mistry, Deven Mahesh, et al.
Published: (2025)
by: Mistry, Deven Mahesh, et al.
Published: (2025)
Local Prompt Optimization
by: Jain, Yash, et al.
Published: (2025)
by: Jain, Yash, et al.
Published: (2025)
On the Reasoning Abilities of Masked Diffusion Language Models
by: Svete, Anej, et al.
Published: (2025)
by: Svete, Anej, et al.
Published: (2025)
Towards Reasoning Ability of Small Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)
by: Srivastava, Gaurav, et al.
Published: (2025)
Deception Abilities Emerged in Large Language Models
by: Hagendorff, Thilo
Published: (2023)
by: Hagendorff, Thilo
Published: (2023)
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
by: Guan, Xinyan, et al.
Published: (2024)
by: Guan, Xinyan, et al.
Published: (2024)
InversionView: A General-Purpose Method for Reading Information from Neural Activations
by: Huang, Xinting, et al.
Published: (2024)
by: Huang, Xinting, et al.
Published: (2024)
Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
by: Ackermann, Johannes, et al.
Published: (2026)
by: Ackermann, Johannes, et al.
Published: (2026)
Ability Transfer and Recovery via Modularized Parameters Localization
by: Jin, Songyao, et al.
Published: (2026)
by: Jin, Songyao, et al.
Published: (2026)
Distilling LLMs' Decomposition Abilities into Compact Language Models
by: Tarasov, Denis, et al.
Published: (2024)
by: Tarasov, Denis, et al.
Published: (2024)
Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)
by: Tang, Zhengyang, et al.
Published: (2025)
Emergent Abilities in Large Language Models: A Survey
by: Berti, Leonardo, et al.
Published: (2025)
by: Berti, Leonardo, et al.
Published: (2025)
Towards Verifiable Text Generation with Symbolic References
by: Hennigen, Lucas Torroba, et al.
Published: (2023)
by: Hennigen, Lucas Torroba, et al.
Published: (2023)
VerAs: Verify then Assess STEM Lab Reports
by: Atil, Berk, et al.
Published: (2024)
by: Atil, Berk, et al.
Published: (2024)
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language
by: Sharma, Yash, et al.
Published: (2024)
by: Sharma, Yash, et al.
Published: (2024)
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
by: Sinha, Yash, et al.
Published: (2024)
by: Sinha, Yash, et al.
Published: (2024)
daDPO: Distribution-Aware DPO for Distilling Conversational Abilities
by: Zhang, Zhengze, et al.
Published: (2025)
by: Zhang, Zhengze, et al.
Published: (2025)
Similar Items
-
Barriers to Universal Reasoning With Transformers (And How to Overcome Them)
by: Kraus, Oliver, et al.
Published: (2026) -
Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
by: Jobanputra, Mayank, et al.
Published: (2025) -
The Expressive Capacity of State Space Models: A Formal Language Perspective
by: Sarrof, Yash, et al.
Published: (2024) -
Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
by: Stein, Katharina, et al.
Published: (2023) -
ADaPT: As-Needed Decomposition and Planning with Language Models
by: Prasad, Archiki, et al.
Published: (2023)