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Quan Wang

14 papers hereh-index 8266 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.AI1
same name
  • Quan Wang — 116 papers
  • Quan Wang — 31 papers, h 17
  • Quan Wang — 15 papers, h 7
  • Quan Wang — 11 papers, h 5
  • Quan Wang — 9 papers, h 27
  • Quan Wang — 9 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBenchmarking Large Language Models on Controllable Generation under Diversified Instructions

2 citations · 4 across the 13 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation

Fengyi Fu, Lei Zhang, Quan Wang +1

Achieving empathy is a crucial step toward humanized dialogue systems. Current approaches for empathetic dialogue generation mainly perceive an emotional label to generate an empat…

cs.CL2023

Grammatical Error Correction via Mixed-Grained Weighted Training

Jiahao Li, Quan Wang, Chiwei Zhu +2

The task of Grammatical Error Correction (GEC) aims to automatically correct grammatical errors in natural texts. Almost all previous works treat annotated training data equally, b…

cs.CL2023★ 1 cited

On the Calibration of Large Language Models and Alignment

Chiwei Zhu, Benfeng Xu, Quan Wang +2

As large language models attract increasing attention and find widespread application, concurrent challenges of reliability also arise at the same time. Confidence calibration, an…

cs.CL2023

Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation

Tianqi Zhong, Quan Wang, Jingxuan Han +2

Controllable text generation (CTG) aims to generate text with desired attributes, and decoding-time-based methods have shown promising performance on this task. However, in this pa…

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