Xingwei He
12 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
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(5)
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Conferences
EMNLP (5)
AAAI (3)
ACL (2)
COLING (1)
NAACL (1)
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Keywords
large language model
(3)
dense retrieval
(3)
text generation
(2)
few-shot learning
(2)
information retrieval
(2)
factual error correction
(2)
knowledge distillation
(2)
knowledge transfer
(1)
transfer learning
(1)
zero-shot learning
(1)
data annotation
(1)
lexical complexity
(1)
instruction following
(1)
llm evaluation
(1)
controllable generation
(1)
language model
(1)
text retrieval
(1)
markov chain monte carlo
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
Papers
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
AAAI 2026
Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
ACL 2025
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
NAACL 2024
Improving Factual Error Correction by Learning to Inject Factual Errors
AAAI 2024
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval
COLING 2024
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
EMNLP 2023
Noisy Pair Corrector for Dense Retrieval
EMNLP 2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
EMNLP 2023
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
EMNLP 2022
Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences
ACL 2022
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
AAAI 2021
Parallel Refinements for Lexically Constrained Text Generation with BART
EMNLP 2021