Hypothesis Generation with Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhou, Yangqiaoyu, Liu, Haokun, Srivastava, Tejes, Mei, Hongyuan, Tan, Chenhao |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
par: Liu, Haokun, et autres
Publié: (2024)
par: Liu, Haokun, et autres
Publié: (2024)
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
par: Liu, Haokun, et autres
Publié: (2025)
par: Liu, Haokun, et autres
Publié: (2025)
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
par: Heddaya, Mourad, et autres
Publié: (2024)
par: Heddaya, Mourad, et autres
Publié: (2024)
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
par: Nguyen, Dang, et autres
Publié: (2025)
par: Nguyen, Dang, et autres
Publié: (2025)
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
par: Li, Mingxuan, et autres
Publié: (2025)
par: Li, Mingxuan, et autres
Publié: (2025)
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
par: Kıcıman, Emre, et autres
Publié: (2023)
par: Kıcıman, Emre, et autres
Publié: (2023)
Know Thyself? On the Incapability and Implications of AI Self-Recognition
par: Bai, Xiaoyan, et autres
Publié: (2025)
par: Bai, Xiaoyan, et autres
Publié: (2025)
The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research
par: Bai, Xiaoyan, et autres
Publié: (2026)
par: Bai, Xiaoyan, et autres
Publié: (2026)
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
par: Zhou, Han, et autres
Publié: (2024)
par: Zhou, Han, et autres
Publié: (2024)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
par: Wang, Jiawei, et autres
Publié: (2024)
par: Wang, Jiawei, et autres
Publié: (2024)
Exploring Accuracy-Fairness Trade-off in Large Language Models
par: Zhang, Qingquan, et autres
Publié: (2024)
par: Zhang, Qingquan, et autres
Publié: (2024)
Large Language Models are Geographically Biased
par: Manvi, Rohin, et autres
Publié: (2024)
par: Manvi, Rohin, et autres
Publié: (2024)
Correlated Errors in Large Language Models
par: Kim, Elliot, et autres
Publié: (2025)
par: Kim, Elliot, et autres
Publié: (2025)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
par: Liu, Yuanhao, et autres
Publié: (2026)
par: Liu, Yuanhao, et autres
Publié: (2026)
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
par: Tsai, Chen Feng, et autres
Publié: (2023)
par: Tsai, Chen Feng, et autres
Publié: (2023)
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
par: Xu, Tianyang, et autres
Publié: (2025)
par: Xu, Tianyang, et autres
Publié: (2025)
Psychological Counseling Ability of Large Language Models
par: Peng, Fangyu, et autres
Publié: (2025)
par: Peng, Fangyu, et autres
Publié: (2025)
Assessing Large Language Models on Climate Information
par: Bulian, Jannis, et autres
Publié: (2023)
par: Bulian, Jannis, et autres
Publié: (2023)
Large Language Models Assume People are More Rational than We Really are
par: Liu, Ryan, et autres
Publié: (2024)
par: Liu, Ryan, et autres
Publié: (2024)
A Taxonomy of Stereotype Content in Large Language Models
par: Nicolas, Gandalf, et autres
Publié: (2024)
par: Nicolas, Gandalf, et autres
Publié: (2024)
Transforming Agency. On the mode of existence of Large Language Models
par: Barandiaran, Xabier E., et autres
Publié: (2024)
par: Barandiaran, Xabier E., et autres
Publié: (2024)
Bias and Fairness in Large Language Models: A Survey
par: Gallegos, Isabel O., et autres
Publié: (2023)
par: Gallegos, Isabel O., et autres
Publié: (2023)
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
par: Faiz, Ahmad, et autres
Publié: (2023)
par: Faiz, Ahmad, et autres
Publié: (2023)
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
par: Heakl, Ahmed, et autres
Publié: (2024)
par: Heakl, Ahmed, et autres
Publié: (2024)
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
par: Zhang, Yue, et autres
Publié: (2023)
par: Zhang, Yue, et autres
Publié: (2023)
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
par: Anwar, Usman, et autres
Publié: (2024)
par: Anwar, Usman, et autres
Publié: (2024)
Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
par: Geng, Mingmeng, et autres
Publié: (2024)
par: Geng, Mingmeng, et autres
Publié: (2024)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
par: Song, Kefan, et autres
Publié: (2025)
par: Song, Kefan, et autres
Publié: (2025)
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
par: Ebrahimi, Sana, et autres
Publié: (2024)
par: Ebrahimi, Sana, et autres
Publié: (2024)
A Moral Imperative: The Need for Continual Superalignment of Large Language Models
par: Puthumanaillam, Gokul, et autres
Publié: (2024)
par: Puthumanaillam, Gokul, et autres
Publié: (2024)
Emissions and Performance Trade-off Between Small and Large Language Models
par: Garg, Anandita, et autres
Publié: (2025)
par: Garg, Anandita, et autres
Publié: (2025)
What's in a Name? Auditing Large Language Models for Race and Gender Bias
par: Salinas, Alejandro, et autres
Publié: (2024)
par: Salinas, Alejandro, et autres
Publié: (2024)
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
par: Gallegos, Isabel O., et autres
Publié: (2024)
par: Gallegos, Isabel O., et autres
Publié: (2024)
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
par: Zhang, Liang, et autres
Publié: (2024)
par: Zhang, Liang, et autres
Publié: (2024)
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
par: Ebrahimi, Sana, et autres
Publié: (2024)
par: Ebrahimi, Sana, et autres
Publié: (2024)
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
par: Hu, Tiancheng, et autres
Publié: (2025)
par: Hu, Tiancheng, et autres
Publié: (2025)
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
par: Ding, Jiale, et autres
Publié: (2025)
par: Ding, Jiale, et autres
Publié: (2025)
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
par: Kapoor, Anjali K., et autres
Publié: (2026)
par: Kapoor, Anjali K., et autres
Publié: (2026)
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
par: Shieh, Evan, et autres
Publié: (2024)
par: Shieh, Evan, et autres
Publié: (2024)
GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral Reasoning
par: Yu, Jeffy, et autres
Publié: (2024)
par: Yu, Jeffy, et autres
Publié: (2024)
Documents similaires
-
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
par: Liu, Haokun, et autres
Publié: (2024) -
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
par: Liu, Haokun, et autres
Publié: (2025) -
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
par: Heddaya, Mourad, et autres
Publié: (2024) -
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
par: Nguyen, Dang, et autres
Publié: (2025) -
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
par: Li, Mingxuan, et autres
Publié: (2025)