FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Tenghao, Lee, Donghee, Sweeney, John, Shi, Jiatong, Steliotes, Emily, Lange, Matthew, May, Jonathan, Chen, Muhao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DiscoSum: Discourse-aware News Summarization
by: Spangher, Alexander, et al.
Published: (2025)
by: Spangher, Alexander, et al.
Published: (2025)
Are Large Language Models Capable of Generating Human-Level Narratives?
by: Tian, Yufei, et al.
Published: (2024)
by: Tian, Yufei, et al.
Published: (2024)
Optimizing Diversity and Quality through Base-Aligned Model Collaboration
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
Teaching Language Models To Gather Information Proactively
by: Huang, Tenghao, et al.
Published: (2025)
by: Huang, Tenghao, et al.
Published: (2025)
Red Teaming Language Models for Processing Contradictory Dialogues
by: Wen, Xiaofei, et al.
Published: (2024)
by: Wen, Xiaofei, et al.
Published: (2024)
GTA: Generating Long-Horizon Tasks for Web Agents at Scale
by: Huang, Tenghao, et al.
Published: (2026)
by: Huang, Tenghao, et al.
Published: (2026)
Planning and Editing What You Retrieve for Enhanced Tool Learning
by: Huang, Tenghao, et al.
Published: (2024)
by: Huang, Tenghao, et al.
Published: (2024)
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
by: Jung, Dongwon, et al.
Published: (2024)
by: Jung, Dongwon, et al.
Published: (2024)
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory
by: Huang, Tenghao, et al.
Published: (2025)
by: Huang, Tenghao, et al.
Published: (2025)
Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)
by: Huang, Tenghao, et al.
Published: (2023)
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models
by: Luo, Weidi, et al.
Published: (2026)
by: Luo, Weidi, et al.
Published: (2026)
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
by: Zhu, Qin, et al.
Published: (2025)
by: Zhu, Qin, et al.
Published: (2025)
Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration
by: Huang, James Y., et al.
Published: (2025)
by: Huang, James Y., et al.
Published: (2025)
EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
by: Lyu, Yougang, et al.
Published: (2026)
by: Lyu, Yougang, et al.
Published: (2026)
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)
by: Liu, Xiaogeng, et al.
Published: (2023)
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles
by: Lin, Zheng-Lin, et al.
Published: (2025)
by: Lin, Zheng-Lin, et al.
Published: (2025)
Solving Situation Puzzles with Large Language Model and External Reformulation
by: Li, Kun, et al.
Published: (2025)
by: Li, Kun, et al.
Published: (2025)
Missed Connections: Lateral Thinking Puzzles for Large Language Models
by: Todd, Graham, et al.
Published: (2024)
by: Todd, Graham, et al.
Published: (2024)
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
by: Zhou, Wenxuan, et al.
Published: (2023)
by: Zhou, Wenxuan, et al.
Published: (2023)
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
by: Zhang, Hongxiang, et al.
Published: (2025)
by: Zhang, Hongxiang, et al.
Published: (2025)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Puzzle Solving using Reasoning of Large Language Models: A Survey
by: Giadikiaroglou, Panagiotis, et al.
Published: (2024)
by: Giadikiaroglou, Panagiotis, et al.
Published: (2024)
CLIMB: A Benchmark of Clinical Bias in Large Language Models
by: Zhang, Yubo, et al.
Published: (2024)
by: Zhang, Yubo, et al.
Published: (2024)
Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
by: Hawkins, John
Published: (2025)
by: Hawkins, John
Published: (2025)
Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint
by: Lee, Heekyung, et al.
Published: (2025)
by: Lee, Heekyung, et al.
Published: (2025)
Language Models Can Predict Their Own Behavior
by: Ashok, Dhananjay, et al.
Published: (2025)
by: Ashok, Dhananjay, et al.
Published: (2025)
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
by: Xu, Nan, et al.
Published: (2023)
by: Xu, Nan, et al.
Published: (2023)
Sparse Layers are Critical to Scaling Looped Language Models
by: Lee, Ryan, et al.
Published: (2026)
by: Lee, Ryan, et al.
Published: (2026)
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
by: Chen, Jiangjie, et al.
Published: (2025)
by: Chen, Jiangjie, et al.
Published: (2025)
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
by: Zhu, Tinghui, et al.
Published: (2024)
by: Zhu, Tinghui, et al.
Published: (2024)
Privacy-Preserving Language Model Inference with Instance Obfuscation
by: Yao, Yixiang, et al.
Published: (2024)
by: Yao, Yixiang, et al.
Published: (2024)
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
by: Askari, Hadi, et al.
Published: (2025)
by: Askari, Hadi, et al.
Published: (2025)
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
by: Han, Jiatong
Published: (2025)
by: Han, Jiatong
Published: (2025)
Can Large Language Models Replace Data Scientists in Biomedical Research?
by: Wang, Zifeng, et al.
Published: (2024)
by: Wang, Zifeng, et al.
Published: (2024)
Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
by: Nahin, Shahriar Kabir, et al.
Published: (2025)
by: Nahin, Shahriar Kabir, et al.
Published: (2025)
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
by: Yu, Haofei, et al.
Published: (2025)
by: Yu, Haofei, et al.
Published: (2025)
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles
by: Yu, Qingchen, et al.
Published: (2024)
by: Yu, Qingchen, et al.
Published: (2024)
Spiral of Silence in Large Language Model Agents
by: Zhong, Mingze, et al.
Published: (2025)
by: Zhong, Mingze, et al.
Published: (2025)
Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)
by: Li, Jiatong, et al.
Published: (2024)
Similar Items
-
DiscoSum: Discourse-aware News Summarization
by: Spangher, Alexander, et al.
Published: (2025) -
Are Large Language Models Capable of Generating Human-Level Narratives?
by: Tian, Yufei, et al.
Published: (2024) -
Optimizing Diversity and Quality through Base-Aligned Model Collaboration
by: Wang, Yichen, et al.
Published: (2025) -
Teaching Language Models To Gather Information Proactively
by: Huang, Tenghao, et al.
Published: (2025) -
Red Teaming Language Models for Processing Contradictory Dialogues
by: Wen, Xiaofei, et al.
Published: (2024)