Dawei Zhu
38 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Natural Language Processing
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Deep Learning
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large language model
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language model
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text classification
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document-level translation
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few-shot learning
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machine translation
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translation quality
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model evaluation
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named entity recognition
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label noise
(3)
noisy label
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low-resource language
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information bottleneck
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knowledge graph
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retrieval-augmented generation
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natural language processing
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zero-shot learning
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text generation
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prompt engineering
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weakly supervised learning
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Papers
DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
ACL 2026
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
ACL 2026
AFRIDOC-MT: Document-level MT Corpus for African Languages
EMNLP 2025
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision
EMNLP 2025
EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection
COLING 2025
Findings of the WMT25 Terminology Translation Task: Terminology is Useful Especially for Good MTs
EMNLP 2025
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
NAACL 2025
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
ACL 2025
Hierarchical Memory Organization for Wikipedia Generation
ACL 2025
InternLM-Law: An Open-Sourced Chinese Legal Large Language Model
COLING 2025
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
EMNLP 2025
LongAttn: Selecting Long-context Training Data via Token-level Attention
ACL 2025
MMTEB: Massive Multilingual Text Embedding Benchmark
ICLR 2025
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression
EMNLP 2025
PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
EMNLP 2025
Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
EMNLP 2025
WIKIGENBENCH:Exploring Full-length Wikipedia Generation under Real-World Scenario
COLING 2025
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
EMNLP 2024
A Preference-driven Paradigm for Enhanced Translation with Large Language Models
NAACL 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models
EMNLP 2024
CoUDA: Coherence Evaluation via Unified Data Augmentation
NAACL 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
EMNLP 2024
Large Language Models are not Fair Evaluators
ACL 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models
EMNLP 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval
EMNLP 2024
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
ICLR 2024
The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models
EMNLP 2024
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
EMNLP 2024
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
AAAI 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
EMNLP 2023
Meta Self-Refinement for Robust Learning with Weak Supervision
EACL 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
ACL 2023
ConFiguRe: Exploring Discourse-level Chinese Figures of Speech
COLING 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
ACL 2022
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI 2021
Neural Data-to-Text Generation with LM-based Text Augmentation
EACL 2021
ROXANNE Research Platform: Automate Criminal Investigations
Interspeech 2021
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
EMNLP 2020