Cover Image

Thinking Machines: A Survey of LLM based Reasoning Strategies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bandyopadhyay, Dibyanayan, Bhattacharjee, Soham, Ekbal, Asif
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

CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2025)

Sparse Semantic Dimension as a Generalization Certificate for LLMs
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2026)

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
by: Gain, Baban, et al.
Published: (2025)

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2024)

Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
by: Gain, Baban, et al.
Published: (2023)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
by: Appicharla, Ramakrishna, et al.
Published: (2025)

Computational Politeness in Natural Language Processing: A Survey
by: Priya, Priyanshu, et al.
Published: (2024)

A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information
by: Kapil, Prashant, et al.
Published: (2024)

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
by: Appicharla, Ramakrishna, et al.
Published: (2024)

MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures
by: Zafar, Aizan, et al.
Published: (2024)

ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
by: Phukan, Arpan, et al.
Published: (2024)

M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
by: Kumari, Gitanjali, et al.
Published: (2024)

Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation
by: Ghosh, Soumitra, et al.
Published: (2025)

Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
by: Kumar, Deepak, et al.
Published: (2026)

Towards Visually-Guided Movie Subtitle Translation for Indic Languages
by: Chintada, Tarun, et al.
Published: (2026)

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
by: Gain, Baban, et al.
Published: (2026)

Quality Estimation based Feedback Training for Improving Pronoun Translation
by: Dhankhar, Harshit, et al.
Published: (2025)

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
by: Panchal, Mihir, et al.
Published: (2026)

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
by: Joshi, Ratnesh Kumar, et al.
Published: (2024)

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
by: Priya, Priyanshu, et al.
Published: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens
by: Zebaze, Armel, et al.
Published: (2025)

Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning
by: He, Jiashu, et al.
Published: (2026)

Reasoning Path Divergence: A New Metric and Curation Strategy to Unlock LLM Diverse Thinking
by: Ju, Feng, et al.
Published: (2025)

MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety
by: Yang, Yahan, et al.
Published: (2025)

Could Thinking Multilingually Empower LLM Reasoning?
by: Gao, Changjiang, et al.
Published: (2025)

Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains
by: Tan, Wenhui, et al.
Published: (2025)

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking
by: Tian, Xiaoyu, et al.
Published: (2025)

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
by: Kumar, Sandeep, et al.
Published: (2026)

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
by: Li, Yunxin, et al.
Published: (2025)

Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
by: Chen, Wei-Lin, et al.
Published: (2026)

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
by: Kumar, Sandeep, et al.
Published: (2024)

Selective Latent Thinking: Adaptive Compression of LLM Reasoning Chains
by: Xie, Hui, et al.
Published: (2026)

Web-based Bengali News Corpus for Lexicon Development and POS Tagging
by: Asif Ekbal
Published: (2008)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
by: Zhu, Jason, et al.
Published: (2025)

SyncThink: A Training-Free Strategy to Align Inference Termination with Reasoning Saturation
by: Li, Gengyang, et al.
Published: (2026)

"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding
by: Jin, Hyunbin, et al.
Published: (2025)

Thinking in a Crowd: How Auxiliary Information Shapes LLM Reasoning
by: Zhao, Haodong, et al.
Published: (2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
by: Huang, Shulin, et al.
Published: (2025)