$Image de couverture de livre$

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Youcheng, Qin, Bowen, Huang, Chen, Feng, Duanyu, Yang, Xi, Lei, Wenqiang
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Computation and Language Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model
par: Huang, Chen, et autres
Publié: (2024)

STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation
par: Li, Shuai, et autres
Publié: (2026)

Unlocking Biological Workflows for Robust Protein-Text Question Answering: A Dual-Dimensional RAG Framework
par: Ding, Li, et autres
Publié: (2026)

Knowing When to Ask -- Bridging Large Language Models and Data
par: Radhakrishnan, Prashanth, et autres
Publié: (2024)

Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversation
par: Yoon, Chanwoong, et autres
Publié: (2024)

Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts
par: Huang, Youcheng, et autres
Publié: (2025)

Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
par: Feng, Duanyu, et autres
Publié: (2024)

Large Language Models as Evaluators for Recommendation Explanations
par: Zhang, Xiaoyu, et autres
Publié: (2024)

Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
par: Satpute, Ankit, et autres
Publié: (2024)

PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
par: Wu, Yutao, et autres
Publié: (2025)

Learning to Ask: Conversational Product Search via Representation Learning
par: Zou, Jie, et autres
Publié: (2024)

A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
par: Chang, He, et autres
Publié: (2024)

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement
par: Zhang, Kexin, et autres
Publié: (2025)

Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
par: Zhang, Weijia, et autres
Publié: (2024)

InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
par: Huang, Chao-Wei, et autres
Publié: (2024)

Improving Text Embeddings with Large Language Models
par: Wang, Liang, et autres
Publié: (2023)

ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents
par: Kang, Hao, et autres
Publié: (2024)

Evaluating the Ability of Computationally Extracted Narrative Maps to Encode Media Framing
par: Macías, Sebastián Concha, et autres
Publié: (2024)

Large Search Model: Redefining Search Stack in the Era of LLMs
par: Wang, Liang, et autres
Publié: (2023)

Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
par: Zhao, Xinran, et autres
Publié: (2024)

Beyond Words: Evaluating Large Language Models in Transportation Planning
par: Ying, Shaowei, et autres
Publié: (2024)

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
par: Tang, Qiaoyu, et autres
Publié: (2024)

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
par: Chi, Yizhou, et autres
Publié: (2024)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
par: Chen, Zhongpu, et autres
Publié: (2025)

ScholarSearch: Benchmarking Scholar Searching Ability of LLMs
par: Zhou, Junting, et autres
Publié: (2025)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
par: Zhao, Hongke, et autres
Publié: (2024)

Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory
par: Zhang, Han, et autres
Publié: (2026)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
par: Xu, Jian, et autres
Publié: (2025)

ClarifyMT-Bench: Benchmarking and Improving Multi-Turn Clarification for Conversational Large Language Models
par: Luo, Sichun, et autres
Publié: (2025)

Large Language Models for Information Retrieval: A Survey
par: Zhu, Yutao, et autres
Publié: (2023)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
par: Long, Xinwei, et autres
Publié: (2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
par: Jin, Bowen, et autres
Publié: (2024)

Hallucination Detection and Evaluation of Large Language Model
par: Zhang, Chenggong, et autres
Publié: (2025)

A Survey on Retrieval-Augmented Text Generation for Large Language Models
par: Huang, Yizheng, et autres
Publié: (2024)

DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
par: Ma, Xueguang, et autres
Publié: (2025)

Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
par: Zhu, Yihua, et autres
Publié: (2025)

Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval
par: Lovon, Jesus, et autres
Publié: (2025)

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
par: Ye, Dezhi, et autres
Publié: (2024)

Evaluating Large Language Models for Cross-Lingual Retrieval
par: Zuo, Longfei, et autres
Publié: (2025)

LimRank: Less is More for Reasoning-Intensive Information Reranking
par: Song, Tingyu, et autres
Publié: (2025)