Imagen de Portada

HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Mingxuan, Li, Hanchen, Tan, Chenhao
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
por: Liu, Haokun, et al.
Publicado: (2025)

Literature Meets Data: A Synergistic Approach to Hypothesis Generation
por: Liu, Haokun, et al.
Publicado: (2024)

Hypothesis Generation with Large Language Models
por: Zhou, Yangqiaoyu, et al.
Publicado: (2024)

HypoGeneAgent: A Hypothesis Language Agent for Gene-Set Cluster Resolution Selection Using Perturb-seq Datasets
por: Yuan, Ying, et al.
Publicado: (2025)

On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
por: Nguyen, Dang, et al.
Publicado: (2025)

Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs
por: Wang, Ganghua, et al.
Publicado: (2025)

Hypothesis Generation and Inductive Inference in Children and Language Models
por: Qin, Jeffrey, et al.
Publicado: (2026)

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
por: Cao, Boxi, et al.
Publicado: (2024)

QualEval: Qualitative Evaluation for Model Improvement
por: Murahari, Vishvak, et al.
Publicado: (2023)

HumanEval on Latest GPT Models -- 2024
por: Li, Daniel, et al.
Publicado: (2024)

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
por: Chung, Tsz Ting, et al.
Publicado: (2025)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
por: He, Yuanqin, et al.
Publicado: (2024)

ScholarEval: Research Idea Evaluation Grounded in Literature
por: Moussa, Hanane Nour, et al.
Publicado: (2025)

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
por: Mandal, Shreyasi, et al.
Publicado: (2024)

Hypothesis Search: Inductive Reasoning with Language Models
por: Wang, Ruocheng, et al.
Publicado: (2023)

The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research
por: Bai, Xiaoyan, et al.
Publicado: (2026)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
por: Yu, Xiaodong, et al.
Publicado: (2023)

The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
por: Xiao, Quan, et al.
Publicado: (2025)

The Linear Representation Hypothesis and the Geometry of Large Language Models
por: Park, Kiho, et al.
Publicado: (2023)

Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports
por: Cao, Tianyu, et al.
Publicado: (2024)

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
por: Dubois, Yann, et al.
Publicado: (2024)

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
por: Sansford, Hannah, et al.
Publicado: (2024)

Personalized Benchmarking: Evaluating LLMs by Individual Preferences
por: Garbacea, Cristina, et al.
Publicado: (2026)

Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
por: Yang, Blair, et al.
Publicado: (2024)

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
por: Fan, Lizhou, et al.
Publicado: (2023)

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
por: Liu, Minqian, et al.
Publicado: (2023)

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models
por: Huang, Yuqing, et al.
Publicado: (2024)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
por: Bani-Harouni, David, et al.
Publicado: (2025)

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
por: Wang, Ziyu, et al.
Publicado: (2024)

KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding
por: Hwang, Bokwang, et al.
Publicado: (2025)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
por: Saha, Swarnadeep, et al.
Publicado: (2023)

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
por: Su, Guangxin, et al.
Publicado: (2025)

Planning In Natural Language Improves LLM Search For Code Generation
por: Wang, Evan, et al.
Publicado: (2024)

AutoEval Done Right: Using Synthetic Data for Model Evaluation
por: Boyeau, Pierre, et al.
Publicado: (2024)

Measuring all the noises of LLM Evals
por: Wang, Sida
Publicado: (2025)

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
por: Zhang, Yanlin, et al.
Publicado: (2024)

Interpretable Steering of Large Language Models with Feature Guided Activation Additions
por: Soo, Samuel, et al.
Publicado: (2025)

Know Thyself? On the Incapability and Implications of AI Self-Recognition
por: Bai, Xiaoyan, et al.
Publicado: (2025)

The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs
por: Tezuka, Hinata, et al.
Publicado: (2025)

Revisiting the Superficial Alignment Hypothesis
por: Raghavendra, Mohit, et al.
Publicado: (2024)