activity
20192026
most citedFine-Grained Semantically Aligned Vision-Language Pre-Training

29 citations · 116 across the 52 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2025

Fast Thinking for Large Language Models

Haoyu Zheng, Zhuonan Wang, Yuqian Yuan +7

Reasoning-oriented Large Language Models (LLMs) often rely on generating explicit tokens step by step, and their effectiveness typically hinges on large-scale supervised fine-tunin…

cs.CL2025

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models

Jie Cao, Tianwei Lin, Bo Yuan +7

Recent studies integrate Low-Rank Adaptation (LoRA) and Mixture-of-Experts (MoE) to further enhance the performance of parameter-efficient fine-tuning (PEFT) methods in Large Langu…

cs.CL2025★ 1 cited

Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts

Xiangnan Chen, Yuancheng Fang, Qian Xiao +5

Multimodal Large Language Models (MLLMs) have garnered significant attention for their strong visual-semantic understanding. Most existing chart benchmarks evaluate MLLMs' ability…

cs.CL2024

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Tianwei Lin, Jiang Liu, Wenqiao Zhang +9

While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA have effectively addressed GPU memory constraints during fine-tuning, their performance often falls short, especially…

cs.CL2023★ 1 cited

I3: Intent-Introspective Retrieval Conditioned on Instructions

Kaihang Pan, Juncheng Li, Wenjie Wang +7

Recent studies indicate that dense retrieval models struggle to perform well on a wide variety of retrieval tasks that lack dedicated training data, as different retrieval tasks of…

cs.CL2023

Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document

Xiangnan Chen, Qian Xiao, Juncheng Li +4

Visual Relation Extraction (VRE) is a powerful means of discovering relationships between entities within visually-rich documents. Existing methods often focus on manipulating enti…

cs.CL2020★ 9 cited

Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling

Jiacheng Li, Siliang Tang, Juncheng Li +4

Visual Storytelling~(VIST) is a task to tell a narrative story about a certain topic according to the given photo stream. The existing studies focus on designing complex models, wh…