Monte Carlo Tree Search for Recipe Generation using GPT-2
Fuente:
arXiv
Saved in:
| Main Authors: | Taneja, Karan, Segal, Richard, Goodwin, Richard |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HALT: Hallucination Assessment via Log-probs as Time series
by: Shapiro, Ahmad, et al.
Published: (2026)
by: Shapiro, Ahmad, et al.
Published: (2026)
Interpretable Contrastive Monte Carlo Tree Search Reasoning
by: Gao, Zitian, et al.
Published: (2024)
by: Gao, Zitian, et al.
Published: (2024)
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by: Taneja, Karan, et al.
Published: (2024)
by: Taneja, Karan, et al.
Published: (2024)
Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)
by: Huang, Zheng, et al.
Published: (2025)
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation
by: Xu, Bin, et al.
Published: (2024)
by: Xu, Bin, et al.
Published: (2024)
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
by: Ryu, Sangwon, et al.
Published: (2025)
by: Ryu, Sangwon, et al.
Published: (2025)
MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
by: Xiong, Guanming, et al.
Published: (2025)
by: Xiong, Guanming, et al.
Published: (2025)
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
by: Wu, Fang, et al.
Published: (2025)
by: Wu, Fang, et al.
Published: (2025)
Empirical-MCTS: Continuous Agent Evolution via Dual-Experience Monte Carlo Tree Search
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
by: Li, Shuangtao, et al.
Published: (2025)
by: Li, Shuangtao, et al.
Published: (2025)
Graph-O1 : Monte Carlo Tree Search with Reinforcement Learning for Text-Attributed Graph Reasoning
by: Liu, Lihui
Published: (2025)
by: Liu, Lihui
Published: (2025)
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
by: Luo, Haoran, et al.
Published: (2025)
by: Luo, Haoran, et al.
Published: (2025)
MCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree Search
by: Yuan, Shuozhi, et al.
Published: (2025)
by: Yuan, Shuozhi, et al.
Published: (2025)
Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation
by: Liu, Guoshan, et al.
Published: (2026)
by: Liu, Guoshan, et al.
Published: (2026)
Losses that Cook: Topological Optimal Transport for Structured Recipe Generation
by: Ottoborgo, Mattia, et al.
Published: (2026)
by: Ottoborgo, Mattia, et al.
Published: (2026)
Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
by: Liu, Jiacheng, et al.
Published: (2023)
by: Liu, Jiacheng, et al.
Published: (2023)
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
by: Zhang, Kaichen, et al.
Published: (2025)
by: Zhang, Kaichen, et al.
Published: (2025)
CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)
by: Sutawika, Lintang, et al.
Published: (2026)
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
by: Wan, David, et al.
Published: (2025)
by: Wan, David, et al.
Published: (2025)
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations
by: Chopra, Harshita, et al.
Published: (2025)
by: Chopra, Harshita, et al.
Published: (2025)
Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study
by: Vij, Anneketh, et al.
Published: (2025)
by: Vij, Anneketh, et al.
Published: (2025)
Removing RLHF Protections in GPT-4 via Fine-Tuning
by: Zhan, Qiusi, et al.
Published: (2023)
by: Zhan, Qiusi, et al.
Published: (2023)
The Aloe Family Recipe for Open and Specialized Healthcare LLMs
by: Garcia-Gasulla, Dario, et al.
Published: (2025)
by: Garcia-Gasulla, Dario, et al.
Published: (2025)
Behavior Trees Enable Structured Programming of Language Model Agents
by: Kelley, Richard
Published: (2024)
by: Kelley, Richard
Published: (2024)
Vero: An Open RL Recipe for General Visual Reasoning
by: Sarch, Gabriel, et al.
Published: (2026)
by: Sarch, Gabriel, et al.
Published: (2026)
A Recipe For Building a Compliant Real Estate Chatbot
by: Madani, Navid, et al.
Published: (2024)
by: Madani, Navid, et al.
Published: (2024)
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat
by: Daynauth, Roland, et al.
Published: (2024)
by: Daynauth, Roland, et al.
Published: (2024)
Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation
by: Chen, Yifang, et al.
Published: (2024)
by: Chen, Yifang, et al.
Published: (2024)
Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
by: Zhang, Xing, et al.
Published: (2026)
by: Zhang, Xing, et al.
Published: (2026)
PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarization
by: Pang, Tsz Fung, et al.
Published: (2025)
by: Pang, Tsz Fung, et al.
Published: (2025)
InfiR2: A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models
by: Wang, Wenjun, et al.
Published: (2025)
by: Wang, Wenjun, et al.
Published: (2025)
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
by: Borgersen, Karl Audun, et al.
Published: (2025)
by: Borgersen, Karl Audun, et al.
Published: (2025)
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
by: Xin, Huajian, et al.
Published: (2024)
by: Xin, Huajian, et al.
Published: (2024)
AllMem: A Memory-centric Recipe for Efficient Long-context Modeling
by: Wang, Ziming, et al.
Published: (2026)
by: Wang, Ziming, et al.
Published: (2026)
Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning
by: Huang, Bingning, et al.
Published: (2025)
by: Huang, Bingning, et al.
Published: (2025)
ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
by: Van Long, Phuoc Pham, et al.
Published: (2023)
by: Van Long, Phuoc Pham, et al.
Published: (2023)
MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
by: Li, Pengfei, et al.
Published: (2026)
by: Li, Pengfei, et al.
Published: (2026)
Exploring the features used for summary evaluation by Human and GPT
by: Sadeghi, Zahra, et al.
Published: (2025)
by: Sadeghi, Zahra, et al.
Published: (2025)
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
by: Zhu, Jian-Qiao, et al.
Published: (2024)
by: Zhu, Jian-Qiao, et al.
Published: (2024)
Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search
by: Kim, Edward, et al.
Published: (2024)
by: Kim, Edward, et al.
Published: (2024)
Similar Items
-
HALT: Hallucination Assessment via Log-probs as Time series
by: Shapiro, Ahmad, et al.
Published: (2026) -
Interpretable Contrastive Monte Carlo Tree Search Reasoning
by: Gao, Zitian, et al.
Published: (2024) -
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by: Taneja, Karan, et al.
Published: (2024) -
Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025) -
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation
by: Xu, Bin, et al.
Published: (2024)