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20232026
most citedA Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise

13 citations · 23 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

Zhuoshi Pan, Junru Lu, Yan Qian +3

Factual question answering (QA) typically assumes a single canonical answer, obscuring whether large language models (LLMs) retain divergent accounts of long-tail facts. To address…

cs.CL2025

SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space

Zhenyi Shen, Junru Lu, Lin Gui +4

Sparse attention reduces the quadratic complexity of full self-attention but faces two challenges: (1) an attention gap, where applying sparse attention to full-attention-trained m…

cs.CL2025★ 1 cited

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation

Yilin Xiao, Junnan Dong, Chuang Zhou +5

Graph Retrieval Augmented Generation (GraphRAG) has garnered increasing recognition for its potential to enhance large language models (LLMs) by structurally organizing domain-spec…

cs.CL2025

RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following

Junru Lu, Jiazheng Li, Guodong Shen +5

Role-playing is important for Large Language Models (LLMs) to follow diverse instructions while maintaining role identity and the role's pre-defined ability limits. Existing role-p…

cs.CL2024★ 1 cited

SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models

Shujuan Zhao, Lingfeng Qiao, Kangyang Luo +3

Large language models (LLMs) have become powerful tools for advancing natural language processing applications in the financial industry. However, existing financial LLMs often fac…

cs.CL2024

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence

Junru Lu, Jiazheng Li, Siyu An +4

Direct Preference Optimization (DPO) has emerged as a prominent algorithm for the direct and robust alignment of Large Language Models (LLMs) with human preferences, offering a mor…