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researcher

Yang Liu

8 papers hereh-index 5339 citations22 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV1
  • cs.SD1
  • cs.SE1
  • eess.AS1
same name
  • Yang Liu — 23 papers
  • Yang Liu — 22 papers, h 13
  • Yang Liu — 20 papers, h 2
  • Yang Liu — 17 papers, h 9
  • Yang Liu — 16 papers, h 3
  • Yang Liu — 15 papers, h 5

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

most citedCovo-Audio Technical Report

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs

Junyi Jessy Li, Yang Janet Liu, Kanishka Misra +2

The field of NLP has undergone vast, continuous transformations over the past few years, sparking debates going beyond discipline boundaries. This begs important questions in educa…

cs.CL2025

MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues

Liang Xue, Haoyu Liu, Yajun Tian +2

Fine-grained entity recognition is crucial for reasoning and decision-making in task-oriented dialogues, yet current large language models (LLMs) continue to face challenges in dom…

cs.CL2025

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE

Haiduo Huang, Fuwei Yang, Zhenhua Liu +7

Speculative decoding (SD) accelerates large language model inference by using a smaller draft model to predict multiple tokens, which are then verified in parallel by the larger ta…

cs.CL2025

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation

Guofeng Cui, Pichao Wang, Yang Liu +3

Large language models (LLMs) have shown great potential in natural language processing tasks, but their application to machine translation (MT) remains challenging due to pretraini…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.