An Investigation of Representation and Allocation Harms in Contrastive LearningSubha MaityMayank Agarwalet al.2024ICLR 2024
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChainMarcus MinRobin (Yangruibo) Dinget al.2024ICLR 2024
On the generalization capacity of neural networks during generic multimodal reasoningTaku ItoSoham Danet al.2024ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsMing JinShiyu Wanget al.2024ICLR 2024
AutoVP: An Automated Visual Prompting Framework and BenchmarkHsi-ai TsaoLei Hsiunget al.2024ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATIONAsaf YehudaiBoaz Carmeliet al.2024ICLR 2024
Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionYuchen HuChen Chenet al.2024ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method PerspectiveMing-yu ChungSheng-yen Chouet al.2024ICLR 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu QiYi Zenget al.2024ICLR 2024