Dawei Zhu

Orcid: 0000-0002-9386-4371

According to our database1, Dawei Zhu authored at least 59 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories.
CoRR, 2024

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models.
CoRR, 2024

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models.
CoRR, 2024

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.
CoRR, 2024

Assessing "Implicit" Retrieval Robustness of Large Language Models.
CoRR, 2024

EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection.
CoRR, 2024

InternLM-Law: An Open Source Chinese Legal Large Language Model.
CoRR, 2024

Long Context Alignment with Short Instructions and Synthesized Positions.
CoRR, 2024

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
CoRR, 2024

Retrieval-based Full-length Wikipedia Generation for Emergent Events.
CoRR, 2024


CoUDA: Coherence Evaluation via Unified Data Augmentation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Preference-driven Paradigm for Enhanced Translation with Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LongEmbed: Extending Embedding Models for Long Context Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Assessing "Implicit" Retrieval Robustness of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LawBench: Benchmarking Legal Knowledge of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models are not Fair Evaluators.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
LawBench: Benchmarking Legal Knowledge of Large Language Models.
CoRR, 2023

RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs.
CoRR, 2023

Large Language Models are not Fair Evaluators.
CoRR, 2023

Weaker Than You Think: A Critical Look atWeakly Supervised Learning.
CoRR, 2023

RepCL: Exploring Effective Representation for Continual Text Classification.
CoRR, 2023

Improved ADI Iterative Algorithm With Gauss-Seidel Ideology for Efficient WLP-FDTD Method in 3-D Cylindrical Coordinate System.
IEEE Access, 2023

Probing Bilingual Guidance for Cross-Lingual Summarization.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

DocRED-FE: A Document-Level Fine-Grained Entity and Relation Extraction Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2023

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Meta Self-Refinement for Robust Learning with Weak Supervision.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Weaker Than You Think: A Critical Look at Weakly Supervised Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Edge Task Migration With 6G-Enabled Network in Box for Cybertwin-Based Internet of Vehicles.
IEEE Trans. Ind. Informatics, 2022

Splitting and placement of data-intensive applications with machine learning for power system in cloud computing.
Digit. Commun. Networks, 2022

Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages.
CoRR, 2022

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Concurrent Practical Byzantine Fault Tolerance for Integration of Blockchain and Supply Chain.
ACM Trans. Internet Techn., 2021

Cognitive Analytics of Social Media Services for Edge Resource Pre-Allocation in Industrial Manufacturing.
IEEE Trans. Comput. Soc. Syst., 2021

Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network.
Neural Networks, 2021

GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates.
CoRR, 2021

The Defects and Improvements of the Internal Control Audit in Chinese Universities with respect to the Probabilistic Hesitant Fuzzy Environment.
Complex., 2021

ROXANNE Research Platform: Automate Criminal Investigations.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Neural Data-to-Text Generation with LM-based Text Augmentation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Analysing the Noise Model Error for Realistic Noisy Label Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep learning for real-time image steganalysis: a survey.
J. Real Time Image Process., 2020

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification.
CoRR, 2019

Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network.
CoRR, 2019

A Novel Efficient WLP-Based BOR FDTD Method With Explicit Treating Ideology.
IEEE Access, 2019

2016
Energy Efficiency Optimization and Comparison for One-Way and Two-Way Decode-and-Forward Relay Systems.
J. Commun., 2016

Dust particle detection in traffic surveillance video using motion singularity analysis.
Digit. Signal Process., 2016

2014
A Two-Stage Blind Image Color Correction Using Color Cast Estimation.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2010
Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed <i>(Brassica Napus L.)</i>.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

2008
Researches of Optimum Leaf Area Index Dynamicmodels for Rape(Brassica napus L.).
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 3, 2008


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