:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Zhiyu, Wang, Shuo, Yan, Yukun, Deng, Yang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.22388
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

An Interactive Debugger for Rust Trait Errors
by: Gray, Gavin, et al.
Published: (2025)

Think Straight, Stop Smart: Structured Reasoning for Efficient Multi-Hop RAG
by: Bang, Jihwan, et al.
Published: (2025)

Multi-Dimensional Evaluation of LLMs for Grammatical Error Correction
by: Labib, Adnan, et al.
Published: (2026)

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions
by: Shen, Zhiyu, et al.
Published: (2025)

CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
by: Yang, Hao, et al.
Published: (2026)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
by: Kim, Yunsoo, et al.
Published: (2025)

HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
by: Wang, Shenzhi, et al.
Published: (2026)

From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs
by: Bian, Haonan, et al.
Published: (2025)

Multi-head Sequence Tagging Model for Grammatical Error Correction
by: Al-Sabahi, Kamal, et al.
Published: (2024)

Making Long-Context Language Models Better Multi-Hop Reasoners
by: Li, Yanyang, et al.
Published: (2024)

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
by: Yadav, Anushka, et al.
Published: (2025)

MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
by: Wang, Yibo, et al.
Published: (2025)

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
by: He, Jie, et al.
Published: (2024)

Credible Plan-Driven RAG Method for Multi-Hop Question Answering
by: Zhang, Ningning, et al.
Published: (2025)

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
by: Wang, Sizhe, et al.
Published: (2025)

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
by: Jin, Haolin, et al.
Published: (2024)

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
by: Biran, Eden, et al.
Published: (2024)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
by: Wu, Zhuoyang, et al.
Published: (2025)

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
by: Ye, Junjie, et al.
Published: (2025)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
by: Yan, Yibo, et al.
Published: (2024)

Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction
by: Ko, Yuka, et al.
Published: (2024)

Leveraging LLMs for Bangla Grammar Error Correction:Error Categorization, Synthetic Data, and Model Evaluation
by: Bhattacharyya, Pramit, et al.
Published: (2024)

Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization
by: Xiong, Boya, et al.
Published: (2025)

FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
by: Lei, Deren, et al.
Published: (2025)

OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning
by: Kim, Seunghee, et al.
Published: (2025)

Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA
by: Chang, Zhiyuan, et al.
Published: (2024)

Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
by: Yang, Jaewoo, et al.
Published: (2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
by: Ying, Jiahao, et al.
Published: (2024)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
by: Moon, Seungjun, et al.
Published: (2023)

Piecing It All Together: Verifying Multi-Hop Multimodal Claims
by: Wang, Haoran, et al.
Published: (2024)

PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
by: Nahid, Md Mahadi Hasan, et al.
Published: (2025)

Do Large Language Models Latently Perform Multi-Hop Reasoning?
by: Yang, Sohee, et al.
Published: (2024)

SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
by: Saberi, Mehrdad, et al.
Published: (2026)

Evaluating LLMs at Detecting Errors in LLM Responses
by: Kamoi, Ryo, et al.
Published: (2024)

MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering
by: Islamaj, Rezarta, et al.
Published: (2026)

A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
by: Klinger, Eitan, et al.
Published: (2025)