Summary of Hift: a Hierarchical Full Parameter Fine-tuning Strategy, by Yongkang Liu et al.
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategyby Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu,…
Summary of A Korean Legal Judgment Prediction Dataset For Insurance Disputes, by Alice Saebom Kwak et al.
A Korean Legal Judgment Prediction Dataset for Insurance Disputesby Alice Saebom Kwak, Cheonkam Jeong, Ji…
Summary of Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion, by Jinhan Wang et al.
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusionby Jinhan Wang, Long Chen,…
Summary of Multi-agent Based Transfer Learning For Data-driven Air Traffic Applications, by Chuhao Deng and Hong-cheol Choi and Hyunsang Park and Inseok Hwang
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applicationsby Chuhao Deng, Hong-Cheol Choi, Hyunsang Park,…
Summary of Learning Under Label Noise Through Few-shot Human-in-the-loop Refinement, by Aaqib Saeed et al.
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinementby Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward…
Summary of Towards Cheaper Inference in Deep Networks with Lower Bit-width Accumulators, by Yaniv Blumenfeld et al.
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulatorsby Yaniv Blumenfeld, Itay Hubara, Daniel…
Summary of How Can Large Language Models Understand Spatial-temporal Data?, by Lei Liu et al.
How Can Large Language Models Understand Spatial-Temporal Data?by Lei Liu, Shuo Yu, Runze Wang, Zhenxun…
Summary of The Risk Of Federated Learning to Skew Fine-tuning Features and Underperform Out-of-distribution Robustness, by Mengyao Du et al.
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustnessby Mengyao Du,…
Summary of Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?, by Sonia Laguna et al.
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?by Sonia Laguna, Ričards Marcinkevičs, Moritz…
Summary of Instruction Fine-tuning: Does Prompt Loss Matter?, by Mathew Huerta-enochian et al.
Instruction Fine-Tuning: Does Prompt Loss Matter?by Mathew Huerta-Enochian, Seung Yong KoFirst submitted to arxiv on:…