STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Huajian, Cheng, Mingyue, Luo, Yucong, Tao, Xiaoyu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Lean-STaR: Learning to Interleave Thinking and Proving
di: Lin, Haohan, et al.
Pubblicazione: (2024)

STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models
di: Zhou, Jingjing, et al.
Pubblicazione: (2026)

Kwai-STaR: Transform LLMs into State-Transition Reasoners
di: Lu, Xingyu, et al.
Pubblicazione: (2024)

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
di: Zelikman, Eric, et al.
Pubblicazione: (2024)

V-STaR: Training Verifiers for Self-Taught Reasoners
di: Hosseini, Arian, et al.
Pubblicazione: (2024)

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
di: Andukuri, Chinmaya, et al.
Pubblicazione: (2024)

HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
di: Xiong, Feng, et al.
Pubblicazione: (2025)

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
di: Zeng, Weihao, et al.
Pubblicazione: (2024)

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
di: Zhou, Yitong, et al.
Pubblicazione: (2025)

RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
di: Chang, Fu-Chieh, et al.
Pubblicazione: (2024)

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement
di: Cheng, Mingyue, et al.
Pubblicazione: (2026)

STaR-Attack: A Spatio-Temporal and Narrative Reasoning Attack Framework for Unified Multimodal Understanding and Generation Models
di: Guo, Shaoxiong, et al.
Pubblicazione: (2025)

STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multimodal Robot Memory
di: Yuan, Mingfeng, et al.
Pubblicazione: (2026)

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
di: Fodeh, Samah, et al.
Pubblicazione: (2026)

STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models
di: Han, Yuhang, et al.
Pubblicazione: (2026)

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
di: Zohar, Orr, et al.
Pubblicazione: (2024)

PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables
di: Mao, Qingyang, et al.
Pubblicazione: (2024)

Unlocking the Potential of Large Language Models for Explainable Recommendations
di: Luo, Yucong, et al.
Pubblicazione: (2023)

FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
di: Lee, Seunghan, et al.
Pubblicazione: (2026)

TextMatch: Enhancing Image-Text Consistency Through Multimodal Optimization
di: Luo, Yucong, et al.
Pubblicazione: (2024)

Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
di: Cheng, Mingyue, et al.
Pubblicazione: (2025)

Fast-Slow-Thinking: Complex Task Solving with Large Language Models
di: Sun, Yiliu, et al.
Pubblicazione: (2025)

DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
di: Shen, Yi, et al.
Pubblicazione: (2025)

Fast Quiet-STaR: Thinking Without Thought Tokens
di: Huang, Wei, et al.
Pubblicazione: (2025)

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
di: Jiang, Chuang, et al.
Pubblicazione: (2025)

OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting
di: Pan, Tingyue, et al.
Pubblicazione: (2025)

STaR-SQL: Self-Taught Reasoner for Text-to-SQL
di: He, Mingqian, et al.
Pubblicazione: (2025)

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
di: Xiao, Wenyi, et al.
Pubblicazione: (2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
di: Zhang, Shengjia, et al.
Pubblicazione: (2025)

V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning
di: Cheng, Zixu, et al.
Pubblicazione: (2025)

Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
di: Du, Y., et al.
Pubblicazione: (2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
di: Cheng, Xiaoxue, et al.
Pubblicazione: (2025)

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models
di: Wang, Xiangqi, et al.
Pubblicazione: (2025)

AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning
di: Xiang, Kun, et al.
Pubblicazione: (2024)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
di: Koh, Woosung, et al.
Pubblicazione: (2025)

Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
di: Hu, Jinwu, et al.
Pubblicazione: (2025)

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model
di: Ding, Bowen, et al.
Pubblicazione: (2025)

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
di: Liao, Yi, et al.
Pubblicazione: (2025)

From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control
di: Ha, Rui, et al.
Pubblicazione: (2025)

Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy
di: Li, Zeju, et al.
Pubblicazione: (2025)