Cover Image

From What to Why: Thought-Space Recommendation with Small Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Biswas, Prosenjit, Shaik, Pervez, Thorat, Abhinav, Kolla, Ravi, Pedanekar, Niranjan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PlotTwist: A Creative Plot Generation Framework with Small Language Models
by: Thorat, Abhinav, et al.
Published: (2026)

I See, Therefore I Do: Estimating Causal Effects for Image Treatments
by: Thorat, Abhinav, et al.
Published: (2024)

KANITE: Kolmogorov-Arnold Networks for ITE estimation
by: Mehendale, Eshan, et al.
Published: (2025)

Demystifying ChatGPT: How It Masters Genre Recognition
by: Raj, Subham, et al.
Published: (2025)

Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts
by: Pervez, Naseela, et al.
Published: (2024)

Cross-Domain Content Generation with Domain-Specific Small Language Models
by: Maloo, Ankit, et al.
Published: (2024)

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)

On the Limitations of Steering in Language Model Alignment
by: Niranjan, Chebrolu, et al.
Published: (2025)

Chitrarth: Bridging Vision and Language for a Billion People
by: Khan, Shaharukh, et al.
Published: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
by: Nguyen, Son The, et al.
Published: (2024)

Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks
by: Chochlakis, Georgios, et al.
Published: (2024)

Why Chain of Thought Fails in Clinical Text Understanding
by: Wu, Jiageng, et al.
Published: (2025)

From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselves
by: Puerto, Haritz, et al.
Published: (2026)

Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages
by: Khan, Shaharukh, et al.
Published: (2026)

Modeling Language as a Sequence of Thoughts
by: Borazjanizadeh, Nasim, et al.
Published: (2025)

From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation
by: Chebrolu, Niranjan, et al.
Published: (2025)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)

Uncovering Latent Chain of Thought Vectors in Language Models
by: Zhang, Jason, et al.
Published: (2024)

Abstraction-of-Thought Makes Language Models Better Reasoners
by: Hong, Ruixin, et al.
Published: (2024)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
by: Yang, Cheng, et al.
Published: (2025)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
by: Lv, Zheqi, et al.
Published: (2025)

Learning to Rank Chain-of-Thought: Using a Small Model
by: Jiang, Eric Hanchen, et al.
Published: (2025)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
by: Sel, Bilgehan, et al.
Published: (2023)

Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
by: Xie, Congkai, et al.
Published: (2025)

Large Human Language Models: A Need and the Challenges
by: Soni, Nikita, et al.
Published: (2023)

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
by: Emmons, Scott, et al.
Published: (2025)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models
by: Yu, Junchi, et al.
Published: (2023)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

Hallucination Detection with Small Language Models
by: Cheung, Ming
Published: (2025)

Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity
by: Talukdar, Wrick, et al.
Published: (2024)

From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models
by: Liu, Junhao, et al.
Published: (2025)

Language Models as Semantic Augmenters for Sequential Recommenders
by: Valizadeh, Mahsa, et al.
Published: (2025)

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space
by: Madani, Mohammad Reza Ghasemi, et al.
Published: (2026)

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)