Cover Image

Audited Reasoning Refinement: Fine-Tuning Language Models via LLM-Guided Step-Wise Evaluation and Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhattacharyya, Sumanta, Riazi, Sara, Rooshenas, Pedram
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

Steered Generation via Gradient Descent on Sparse Features
by: Bhattacharyya, Sumanta, et al.
Published: (2025)

LLM-Driven Feedback for Enhancing Conceptual Design Learning in Database Systems Courses
by: Riazi, Sara, et al.
Published: (2024)

Steered Generation via Gradient-Based Optimization on Sparse Query Features
by: Bhattacharyya, Sumanta, et al.
Published: (2026)

LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
by: Xu, Jundong, et al.
Published: (2025)

TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers
by: Wesego, Daniel, et al.
Published: (2026)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
by: Hao, Shibo, et al.
Published: (2024)

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)

Multimodal ELBO with Diffusion Decoders
by: Wesego, Daniel, et al.
Published: (2024)

Score-Based Multimodal Autoencoder
by: Wesego, Daniel, et al.
Published: (2023)

LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
by: Azizi, Seyedarmin, et al.
Published: (2024)

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
by: Ruan, Zhiwen, et al.
Published: (2026)

SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
by: Djuhera, Aladin, et al.
Published: (2025)

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
by: Liu, Xinxin, et al.
Published: (2024)

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
by: Ruan, Zhiwen, et al.
Published: (2025)

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
by: Puerto, Haritz, et al.
Published: (2024)

GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models
by: Xu, Guowei, et al.
Published: (2025)

OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
by: Wang, Jinguang, et al.
Published: (2024)

RefineBench: Evaluating Refinement Capability of Language Models via Checklists
by: Lee, Young-Jun, et al.
Published: (2025)

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
by: Xi, Zhiheng, et al.
Published: (2025)

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
by: Mecklenburg, Nick, et al.
Published: (2024)

Guiding Reasoning in Small Language Models with LLM Assistance
by: Kim, Yujin, et al.
Published: (2025)

Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models
by: Zhang, Wuyang, et al.
Published: (2025)

AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviors
by: Sheshadri, Abhay, et al.
Published: (2026)

Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
by: Bi, Jing, et al.
Published: (2024)

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs
by: Guo, Song, et al.
Published: (2024)

Beyond Perplexity: A Lightweight Benchmark for Knowledge Retention in Supervised Fine-Tuning
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2026)

G-Loss: Graph-Guided Fine-Tuning of Language Models
by: Sharma, Aditya, et al.
Published: (2026)

Critique-Guided Distillation for Robust Reasoning via Refinement
by: Kapusuzoglu, Berkcan, et al.
Published: (2025)

Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models
by: Xu, Qinwu, et al.
Published: (2026)

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution
by: Sun, Simeng, et al.
Published: (2025)

Auditing the Use of Language Models to Guide Hiring Decisions
by: Gaebler, Johann D., et al.
Published: (2024)

Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2024)

Improving Narrative Classification and Explanation via Fine Tuned Language Models
by: Tyagi, Rishit, et al.
Published: (2025)

Semi-structured LLM Reasoners Can Be Rigorously Audited
by: Leng, Jixuan, et al.
Published: (2025)

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
by: Xu, Wenda, et al.
Published: (2023)

Images Amplify Misinformation Sharing in Vision-Language Models
by: Plebe, Alice, et al.
Published: (2025)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)

Leveraging LLMs for Bangla Grammar Error Correction:Error Categorization, Synthetic Data, and Model Evaluation
by: Bhattacharyya, Pramit, et al.
Published: (2024)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)