Cover Image

Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Xingwei, Valentino, Marco, Akhter, Mahmud, Liakata, Maria, Aletras, Nikolaos
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
by: Tan, Xingwei, et al.
Published: (2026)

Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models
by: Cao, Mingzi, et al.
Published: (2026)

Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
by: Alajrami, Ahmed, et al.
Published: (2025)

LiFT: Does Instruction Fine-Tuning Improve In-Context Learning for Longitudinal Modelling by Large Language Models?
by: Ali, Iqra, et al.
Published: (2026)

Where does output diversity collapse in post-training?
by: Karouzos, Constantinos, et al.
Published: (2026)

An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
by: Karouzos, Constantinos, et al.
Published: (2026)

Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
by: Lewis-Lim, Samuel, et al.
Published: (2025)

Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
by: Xu, Lei, et al.
Published: (2025)

Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
by: Dougrez-Lewis, John, et al.
Published: (2024)

Temporal reasoning for timeline summarisation in social media
by: Song, Jiayu, et al.
Published: (2024)

Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks
by: Yamaguchi, Atsuki, et al.
Published: (2026)

Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
by: Lewis-Lim, Samuel, et al.
Published: (2025)

Vocabulary-level Memory Efficiency for Language Model Fine-tuning
by: Williams, Miles, et al.
Published: (2023)

Logic-Parametric Neuro-Symbolic NLI: Controlling Logical Formalisms for Verifiable LLM Reasoning
by: Farjami, Ali, et al.
Published: (2026)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, et al.
Published: (2024)

The Alignment Bottleneck in Decomposition-Based Claim Verification
by: Akhter, Mahmud Elahi, et al.
Published: (2026)

Self-calibration for Language Model Quantization and Pruning
by: Williams, Miles, et al.
Published: (2024)

How Private are Language Models in Abstractive Summarization?
by: Hughes, Anthony, et al.
Published: (2024)

Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
by: Ranaldi, Leonardo, et al.
Published: (2025)

An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference
by: Yamaguchi, Atsuki, et al.
Published: (2024)

Compressing Language Models for Specialized Domains
by: Williams, Miles, et al.
Published: (2025)

On the Impact of Calibration Data in Post-training Quantization and Pruning
by: Williams, Miles, et al.
Published: (2023)

Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
by: Quan, Xin, et al.
Published: (2024)

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
by: Li, Shuangtao, et al.
Published: (2025)

Progressive Depth Up-scaling via Optimal Transport
by: Cao, Mingzi, et al.
Published: (2025)

Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain
by: Royer, Corentin, et al.
Published: (2026)

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
by: Xue, Huiyin, et al.
Published: (2025)

No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding
by: Permadi, Vynska Amalia, et al.
Published: (2026)

Adapting Chat Language Models Using Only Target Unlabeled Language Data
by: Yamaguchi, Atsuki, et al.
Published: (2024)

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2026)

GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations
by: Chlapanis, Odysseas S., et al.
Published: (2025)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)

How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?
by: Yamaguchi, Atsuki, et al.
Published: (2024)

Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
by: Yamaguchi, Atsuki, et al.
Published: (2025)

Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
by: Gkoumas, Dimitris, et al.
Published: (2024)

Incorporating Attribution Importance for Improving Faithfulness Metrics
by: Zhao, Zhixue, et al.
Published: (2023)

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research
by: Mu, Yida, et al.
Published: (2024)

Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
by: Ranaldi, Leonardo, et al.
Published: (2024)

Improving Symbolic Translation of Language Models for Logical Reasoning
by: Thatikonda, Ramya Keerthy, et al.
Published: (2026)

Reasoning with Natural Language Explanations
by: Valentino, Marco, et al.
Published: (2024)