Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration S Feng, W Shi, Y Wang, W Ding, V Balachandran, Y Tsvetkov arXiv preprint arXiv:2402.00367, 2024 | 20 | 2024 |
CAR: conceptualization-augmented reasoner for zero-shot commonsense question answering W Wang, T Fang, W Ding, B Xu, X Liu, Y Song, A Bosselut arXiv preprint arXiv:2305.14869, 2023 | 20 | 2023 |
CANDLE: iterative conceptualization and instantiation distillation from large language models for commonsense reasoning W Wang, T Fang, C Li, H Shi, W Ding, B Xu, Z Wang, J Bai, X Liu, J Cheng, ... arXiv preprint arXiv:2401.07286, 2024 | 9 | 2024 |
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models W Ding, S Feng, Y Liu, Z Tan, V Balachandran, T He, Y Tsvetkov Findings of the Association for Computational Linguistics ACL 2024, 2609-2636, 2024 | 7* | 2024 |
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding B Xu, W Wang, H Shi, W Ding, H Jing, T Fang, J Bai, L Chen, Y Song arXiv preprint arXiv:2406.10701, 2024 | 3 | 2024 |
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering H Shi, W Wang, T Fang, B Xu, W Ding, X Liu, Y Song Findings of EMNLP 2023, 2023 | 3 | 2023 |
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce W Ding, W Wang, SHD Kwok, M Liu, T Fang, J Bai, J He, Y Song arXiv preprint arXiv:2406.10173, 2024 | 2 | 2024 |
Teaching LLMs to Abstain across Languages via Multilingual Feedback S Feng, W Shi, Y Wang, W Ding, O Ahia, SS Li, V Balachandran, ... arXiv preprint arXiv:2406.15948, 2024 | 1 | 2024 |
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions W Wang, T Fang, H Shi, B Xu, W Ding, L Zhang, W Fan, J Bai, H Li, X Liu, ... arXiv preprint arXiv:2406.10885, 2024 | 1 | 2024 |