:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yangning, Li, Yinghui, Wang, Xinyu, Jiang, Yong, Zhang, Zhen, Zheng, Xinran, Wang, Hui, Zheng, Hai-Tao, Yu, Philip S., Huang, Fei, Zhou, Jingren
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2411.02937
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions
by: Ye, Jingheng, et al.
Published: (2024)

From Retrieval to Generation: Efficient and Effective Entity Set Expansion
by: Huang, Shulin, et al.
Published: (2023)

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
by: Li, Yinghui, et al.
Published: (2023)

Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion
by: Wang, Hebin, et al.
Published: (2024)

MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
by: Li, Yangning, et al.
Published: (2025)

AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
by: Li, Yangning, et al.
Published: (2025)

When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
by: Li, Yinghui, et al.
Published: (2024)

EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)

Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge
by: Li, Yangning, et al.
Published: (2022)

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities
by: Li, Yangning, et al.
Published: (2024)

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
by: Li, Yangning, et al.
Published: (2025)

On the (In)Effectiveness of Large Language Models for Chinese Text Correction
by: Li, Yinghui, et al.
Published: (2023)

TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning
by: Liu, Daixian, et al.
Published: (2026)

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
by: Xu, Zhikun, et al.
Published: (2024)

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
by: Li, Yinghui, et al.
Published: (2024)

Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction
by: Li, Yinghui, et al.
Published: (2023)

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
by: Lin, Hai, et al.
Published: (2024)

Efficient Multimodal Planning Agent for Visual Question-Answering
by: Chen, Zhuo, et al.
Published: (2026)

DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
by: Chen, Shaoshen, et al.
Published: (2025)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
by: Ni, Hang, et al.
Published: (2025)

From Token to Line: Enhancing Code Generation with a Long-Term Perspective
by: Lu, Tingwei, et al.
Published: (2025)

Self-adaptive Multimodal Retrieval-Augmented Generation
by: Zhai, Wenjia
Published: (2024)

Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction
by: Zhang, Ding, et al.
Published: (2024)

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework
by: Xing, Peng, et al.
Published: (2024)

Automatic Context Pattern Generation for Entity Set Expansion
by: Li, Yinghui, et al.
Published: (2022)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
by: Li, Yinghui, et al.
Published: (2025)

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
by: Li, Yinghui, et al.
Published: (2026)

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
by: Kuang, Jiayi, et al.
Published: (2025)

mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA
by: Zhang, Tao, et al.
Published: (2024)

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
by: Lv, Qingsong, et al.
Published: (2025)

Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry
by: Hou, Wenjun, et al.
Published: (2024)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
by: Karim, A H M Rezaul, et al.
Published: (2025)

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation
by: Wang, Yuechen, et al.
Published: (2025)

AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition
by: Wang, Zeheng, et al.
Published: (2026)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)

GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning
by: Cheng, Xiang, et al.
Published: (2026)

AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
by: Chen, Xuanzhong, et al.
Published: (2025)

VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
by: Ge, Jinchao, et al.
Published: (2025)

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
by: Yuan, Xu, et al.
Published: (2025)

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
by: Geng, Xinyu, et al.
Published: (2025)