activity
20232026
collaborators

5 papers

cs.CL2026

What to Format and How: A Benchmark and Workflow Approach for Document Formatting

Shihao Rao, Liang Li, Jiapeng Liu +6

Recent advances in large language models (LLMs) have opened up new possibilities for automated document formatting. However, real-world formatting often requires identifying target…

cs.LG2026

EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets

Jiapeng Liu, Liang Li, Bing Li +5

Recent works focus on synthesizing Chart Understanding (ChartU) training sets to inject advanced chart knowledge into Multimodal Large Language Models (MLLMs), where the sufficienc…

cs.IR2024

Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion

Wei Dai, Peng Fu, Chunjing Gan

In an era marked by robust technological growth and swift information renewal, furnishing researchers and the populace with top-tier, avant-garde academic insights spanning various…

cs.CR2024

Reconstruction of Differentially Private Text Sanitization via Large Language Models

Shuchao Pang, Zhigang Lu, Haichen Wang +3

Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks, including many recently discovered ones against large language models (LLMs). However, w…

cs.CL2023

Revisiting the Knowledge Injection Frameworks

Peng Fu, Yiming Zhang, Haobo Wang +2

In recent years, large language models (LLMs), such as GPTs, have attained great impact worldwide. However, how to adapt these LLMs to better suit the vertical domain-specific task…