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20232025
most citedRetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

1 citations · 1 across the 13 of their papers we have counts for

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cs.CL2025

Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing

Baode Wang, Biao Wu, Weizhen Li +8

Document parsing from scanned images into structured formats remains a significant challenge due to its complexly intertwined elements such as text paragraphs, figures, formulas, a…

cs.CL2024

MedINST: Meta Dataset of Biomedical Instructions

Wenhan Han, Meng Fang, Zihan Zhang +5

The integration of large language model (LLM) techniques in the field of medical analysis has brought about significant advancements, yet the scarcity of large, diverse, and well-a…

cs.CL2024★ 1 cited

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

Zihan Zhang, Meng Fang, Ling Chen

Adaptive retrieval-augmented generation (ARAG) aims to dynamically determine the necessity of retrieval for queries instead of retrieving indiscriminately to enhance the efficiency…

cs.CL2023

Turn-Level Active Learning for Dialogue State Tracking

Zihan Zhang, Meng Fang, Fanghua Ye +2

Dialogue state tracking (DST) plays an important role in task-oriented dialogue systems. However, collecting a large amount of turn-by-turn annotated dialogue data is costly and in…

cs.CL2023

CITB: A Benchmark for Continual Instruction Tuning

Zihan Zhang, Meng Fang, Ling Chen +1

Continual learning (CL) is a paradigm that aims to replicate the human ability to learn and accumulate knowledge continually without forgetting previous knowledge and transferring…