Copertina

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Parmar, Mihir, Goyal, Palash, Liu, Xin, Song, Yiwen, Ling, Mingyang, Baral, Chitta, Palangi, Hamid, Pfister, Tomas
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
di: Goyal, Palash, et al.
Pubblicazione: (2026)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
di: Parmar, Mihir, et al.
Pubblicazione: (2025)

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science
di: Salemi, Alireza, et al.
Pubblicazione: (2025)

HEART: Emotionally-Driven Test-Time Scaling of Language Models
di: Pinto, Gabriela, et al.
Pubblicazione: (2025)

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
di: Tyagi, Nemika, et al.
Pubblicazione: (2024)

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
di: Handa, Divij, et al.
Pubblicazione: (2025)

Watch and Learn: Learning to Use Computers from Online Videos
di: Song, Chan Hee, et al.
Pubblicazione: (2025)

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
di: Ahamed, Md Atik, et al.
Pubblicazione: (2026)

Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models
di: Das, Sarkar Snigdha Sarathi, et al.
Pubblicazione: (2025)

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
di: Mishra, Venkatesh, et al.
Pubblicazione: (2025)

CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding
di: Mondal, Ishani, et al.
Pubblicazione: (2026)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
di: Patel, Nisarg, et al.
Pubblicazione: (2024)

Reasoning-Aware Training for Time Series Forecasting
di: Ahamed, Md Atik, et al.
Pubblicazione: (2026)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
di: Parmar, Mihir, et al.
Pubblicazione: (2022)

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
di: Miculicich, Lesly, et al.
Pubblicazione: (2025)

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models
di: RRV, Aswin, et al.
Pubblicazione: (2026)

LEAF: A Living Benchmark for Event-Augmented Forecasting
di: Tan, Mingtian, et al.
Pubblicazione: (2026)

PHANTOM RECALL: When Familiar Puzzles Fool Smart Models
di: Mukhopadhyay, Souradeep, et al.
Pubblicazione: (2025)

Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
di: Saeidi, Amir, et al.
Pubblicazione: (2024)

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
di: Meng, Rui, et al.
Pubblicazione: (2026)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
di: Parmar, Mihir, et al.
Pubblicazione: (2024)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
di: Luo, Man, et al.
Pubblicazione: (2023)

Nexus : An Agentic Framework for Time Series Forecasting
di: Das, Sarkar Snigdha Sarathi, et al.
Pubblicazione: (2026)

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
di: Gupta, Himanshu, et al.
Pubblicazione: (2024)

TarGEN: Targeted Data Generation with Large Language Models
di: Gupta, Himanshu, et al.
Pubblicazione: (2023)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
di: Feng, Shangbin, et al.
Pubblicazione: (2025)

Exploring Group and Symmetry Principles in Large Language Models
di: Imani, Shima, et al.
Pubblicazione: (2024)

ThinkTuning: Instilling Cognitive Reflections without Distillation
di: RRV, Aswin, et al.
Pubblicazione: (2025)

VQQA: An Agentic Approach for Video Evaluation and Quality Improvement
di: Song, Yiwen, et al.
Pubblicazione: (2026)

Investigating VLM Hallucination from a Cognitive Psychology Perspective: A First Step Toward Interpretation with Intriguing Observations
di: Liu, Xiangrui, et al.
Pubblicazione: (2025)

Diffusion Adversarial Post-Training for One-Step Video Generation
di: Lin, Shanchuan, et al.
Pubblicazione: (2025)

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
di: Song, Yiwen, et al.
Pubblicazione: (2026)

SOD: Step-wise On-policy Distillation for Small Language Model Agents
di: Zhong, Qiyong, et al.
Pubblicazione: (2026)

On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
di: Chakraborty, Souradip, et al.
Pubblicazione: (2025)

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems
di: Zhao, Jiankun, et al.
Pubblicazione: (2024)

Step-by-Step Training for Media Technicians
di: Kranch, Doug
Pubblicazione: (1976)

Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems
di: Sato, Rei, et al.
Pubblicazione: (2024)

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving
di: Zhou, Kuo, et al.
Pubblicazione: (2025)

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
di: Chatterjee, Agneet, et al.
Pubblicazione: (2024)

CRISP: Complex Reasoning with Interpretable Step-based Plans
di: Vetzler, Matan, et al.
Pubblicazione: (2025)