AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Xiaotian, Li, Jiyi, Takeuchi, Koh, Kashima, Hisashi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024)
by: Lu, Xiaotian, et al.
Published: (2024)
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
by: Sumita, Yasuaki, et al.
Published: (2024)
by: Sumita, Yasuaki, et al.
Published: (2024)
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
by: Liu, Lijia, et al.
Published: (2025)
by: Liu, Lijia, et al.
Published: (2025)
A Generalized Model for Multidimensional Intransitivity
by: Duan, Jiuding, et al.
Published: (2024)
by: Duan, Jiuding, et al.
Published: (2024)
Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
by: An, Subin, et al.
Published: (2025)
by: An, Subin, et al.
Published: (2025)
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses
by: Amirizaniani, Maryam, et al.
Published: (2024)
by: Amirizaniani, Maryam, et al.
Published: (2024)
Learning Neural Strategy-Proof Matching Mechanism from Examples
by: Maruo, Ryota, et al.
Published: (2024)
by: Maruo, Ryota, et al.
Published: (2024)
Learning Fair and Preferable Allocations through Neural Network
by: Maruo, Ryota, et al.
Published: (2024)
by: Maruo, Ryota, et al.
Published: (2024)
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)
by: Li, Yu, et al.
Published: (2024)
R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning
by: Liu, Wanlong, et al.
Published: (2026)
by: Liu, Wanlong, et al.
Published: (2026)
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
by: Yu, Fangyi, et al.
Published: (2025)
by: Yu, Fangyi, et al.
Published: (2025)
ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
by: Choi, Hyeong Kyu, et al.
Published: (2026)
by: Choi, Hyeong Kyu, et al.
Published: (2026)
Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
by: Cao, Jun, et al.
Published: (2025)
by: Cao, Jun, et al.
Published: (2025)
Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
by: Yu, Sunny, et al.
Published: (2025)
by: Yu, Sunny, et al.
Published: (2025)
Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)
by: Demchak, Nathaniel, et al.
Published: (2024)
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
by: Park, Joon, et al.
Published: (2025)
by: Park, Joon, et al.
Published: (2025)
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI
by: Yao, Huanjin, et al.
Published: (2025)
by: Yao, Huanjin, et al.
Published: (2025)
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
by: Chen, Hui, et al.
Published: (2025)
by: Chen, Hui, et al.
Published: (2025)
Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)
by: Ye, Zhiling, et al.
Published: (2025)
Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
by: Lee, Jaehyeok, et al.
Published: (2026)
by: Lee, Jaehyeok, et al.
Published: (2026)
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
by: Deroy, Aniket, et al.
Published: (2024)
by: Deroy, Aniket, et al.
Published: (2024)
PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
by: Li, Hengzhi, et al.
Published: (2025)
by: Li, Hengzhi, et al.
Published: (2025)
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
by: Li, Yishan, et al.
Published: (2026)
by: Li, Yishan, et al.
Published: (2026)
O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL
by: Yao, Yi, et al.
Published: (2026)
by: Yao, Yi, et al.
Published: (2026)
Towards Open-Ended Discovery for Low-Resource NLP
by: Dossou, Bonaventure F. P., et al.
Published: (2025)
by: Dossou, Bonaventure F. P., et al.
Published: (2025)
A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
by: Wang, Zhanliang, et al.
Published: (2026)
by: Wang, Zhanliang, et al.
Published: (2026)
AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data
by: Wu, JiaRu, et al.
Published: (2025)
by: Wu, JiaRu, et al.
Published: (2025)
Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)
by: Hogan, Daniel P., et al.
Published: (2024)
Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory
by: Uebayashi, Shunki, et al.
Published: (2026)
by: Uebayashi, Shunki, et al.
Published: (2026)
Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
by: Chen, Nuo, et al.
Published: (2026)
by: Chen, Nuo, et al.
Published: (2026)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
by: Zhou, Yuxuan, et al.
Published: (2024)
by: Zhou, Yuxuan, et al.
Published: (2024)
Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
MCU: An Evaluation Framework for Open-Ended Game Agents
by: Zheng, Xinyue, et al.
Published: (2023)
by: Zheng, Xinyue, et al.
Published: (2023)
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
by: Carlsson, Fredrik, et al.
Published: (2024)
by: Carlsson, Fredrik, et al.
Published: (2024)
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
by: Xie, Tianbao, et al.
Published: (2024)
by: Xie, Tianbao, et al.
Published: (2024)
Similar Items
-
Evaluating Saliency Explanations in NLP by Crowdsourcing
by: Lu, Xiaotian, et al.
Published: (2024) -
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
by: Sumita, Yasuaki, et al.
Published: (2024) -
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
by: Liu, Lijia, et al.
Published: (2025) -
A Generalized Model for Multidimensional Intransitivity
by: Duan, Jiuding, et al.
Published: (2024) -
Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
by: An, Subin, et al.
Published: (2025)