Követés
Xingxuan Li
Cím
Hivatkozott rá
Hivatkozott rá
Év
YEDDA: A lightweight collaborative text span annotation tool
J Yang, Y Zhang, L Li, X Li
ACL 2018, 2017
1502017
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
R Zhao*, X Li*, S Joty, C Qin, L Bing
ACL 2023, 2023
1272023
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
X Li, R Zhao, YK Chia, B Ding, S Joty, S Poria, L Bing
ICLR 2024, 2023
115*2023
Is GPT-4 a Good Data Analyst?
L Cheng, X Li, L Bing
EMNLP 2023 Findings, 2023
1082023
Evaluating Psychological Safety of Large Language Models
X Li, Y Li, L Qiu, S Joty, L Bing
EMNLP 2024, 2022
86*2022
Retrieving Multimodal Information for Augmented Generation: A Survey
R Zhao, H Chen, W Wang, F Jiao, XL Do, C Qin, B Ding, X Guo, M Li, X Li, ...
EMNLP 2023 Findings, 2023
602023
SeaLLMs--Large Language Models for Southeast Asia
XP Nguyen, W Zhang, X Li, M Aljunied, Z Hu, C Shen, YK Chia, X Li, ...
ACL 2024, 2023
532023
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
H Chen*, F Jiao*, X Li*, C Qin*, M Ravaut*, R Zhao*, C Xiong, S Joty
arXiv preprint arXiv:2311.16989, 2023
482023
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines
R Zhao*, X Li*, YK Chia*, B Ding*, L Bing
arXiv preprint arXiv:2304.11076, 2023
302023
Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
X Li, L Cheng, Q Tan, HT Ng, S Joty, L Bing
arXiv preprint arXiv:2305.15014, 2023
16*2023
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library
M Ravaut, B Ding, F Jiao, H Chen, X Li, R Zhao, C Qin, C Xiong, S Joty
arXiv preprint arXiv:2404.00699, 2024
142024
Chain of Ideas: Revolutionizing Research in Novel Idea Development with LLM Agents
L Li, W Xu, J Guo, R Zhao, X Li, Y Yuan, B Zhang, Y Jiang, Y Xin, R Dang, ...
arXiv preprint arXiv:2410.13185, 2024
42024
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
X Li, W Xu, R Zhao, F Jiao, S Joty, L Bing
arXiv preprint arXiv:2410.01428, 2024
22024
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
L Liu*, X Li*, M Thakkar, X Li, L Bing, S Joty, L Si
ACL 2023, 2022
22022
ParaICL: Towards Robust Parallel In-Context Learning
X Li, XP Nguyen, S Joty, L Bing
NAACL 2025, 2024
2024
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Cikkek 1–15