Παρακολούθηση
Dawei Li
Dawei Li
Arizona State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ucsd.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Large language models for data annotation and synthesis: A survey
Z Tan, D Li, S Wang, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
129*2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning
Y Tong, D Li, S Wang, Y Wang, F Teng, J Shang
ACL 2024, 2024
262024
Contextualization distillation from large language model for knowledge graph completion
D Li, Z Tan, T Chen, H Liu
EACL 2024 (Findings), 2024
262024
C3kg: A chinese commonsense conversation knowledge graph
D Li, Y Li, J Zhang, K Li, C Wei, J Cui, B Wang
ACL 2022 (Findings), 2022
242022
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
D Li, S Yang, Z Tan, JY Baik, S Yun, J Lee, A Chacko, B Hou, ...
EMNLP 2024 (Findings), 2024
182024
From generation to judgment: Opportunities and challenges of llm-as-a-judge
D Li, B Jiang, L Huang, A Beigi, C Zhao, Z Tan, A Bhattacharjee, Y Jiang, ...
arXiv preprint arXiv:2411.16594, 2024
132024
Assisting language learners: Automated trans-lingual definition generation via contrastive prompt learning
H Zhang, D Li, Y Li, C Shang, C Shi, Y Jiang
ACL-BEA 2023, 2023
122023
Multi-level contrastive learning for script-based character understanding
D Li, H Zhang, Y Li, S Yang
EMNLP 2023, 2023
112023
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking
Y Tong, Y Wang, D Li, S Wang, Z Lin, S Han, J Shang
arXiv preprint arXiv:2310.12342, 2023
112023
Fine-grained contrastive learning for definition generation
H Zhang, D Li, S Yang, Y Li
AACL-IJCNLP 2024 (Oral), 2022
102022
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
H Zhang, Y Wu, D Li, Z Yang, R Zhao, Y Jiang, F Tan
ACL 2024 (Findings), 2024
82024
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase
D Li, Y Li, D Mekala, S Li, X Wang, W Hogan, J Shang
arXiv preprint arXiv:2311.03319, 2023
62023
A question-centric multi-experts contrastive learning framework for improving the accuracy and interpretability of deep sequential knowledge tracing models
H Zhang, Z Liu, C Shang, D Li, Y Jiang
TKDD, 2024
52024
Lrq-fact: Llm-generated relevant questions for multimodal fact-checking
A Beigi, B Jiang, D Li, T Kumarage, Z Tan, P Shaeri, H Liu
arXiv preprint arXiv:2410.04616, 2024
42024
Exploring large language models for feature selection: A data-centric perspective
D Li, Z Tan, H Liu
SIGKDD Exploration, 2024
42024
Optimizing Language Model's Reasoning Abilities with Weak Supervision
Y Tong, S Wang, D Li, Y Wang, S Han, Z Lin, C Huang, J Huang, J Shang
arXiv preprint arXiv:2405.04086, 2024
32024
Bpo: Towards balanced preference optimization between knowledge breadth and depth in alignment
S Wang, Y Tong, H Zhang, D Li, X Zhang, T Chen
arXiv preprint arXiv:2411.10914, 2024
22024
Smoa: Improving multi-agent large language models with sparse mixture-of-agents
D Li, Z Tan, P Qian, Y Li, KS Chaudhary, L Hu, J Shen
arXiv preprint arXiv:2411.03284, 2024
22024
Preference Leakage: A Contamination Problem in LLM-as-a-judge
D Li, R Sun, Y Huang, M Zhong, B Jiang, J Han, X Zhang, W Wang, H Liu
arXiv preprint arXiv:2502.01534, 2025
12025
Assessing the Impact of Conspiracy Theories Using Large Language Models
B Jiang, D Li, Z Tan, X Zhou, A Rao, K Lerman, HR Bernard, H Liu
arXiv preprint arXiv:2412.07019, 2024
12024
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