| Causal-Guided Active Learning for Debiasing Large Language Models | Aug 23, 2024 | Active LearningDiversity | CodeCode Available | 1 |
| uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization | Aug 22, 2024 | Abstractive Text SummarizationIn-Context Learning | —Unverified | 0 |
| Transformers are Minimax Optimal Nonparametric In-Context Learners | Aug 22, 2024 | DiversityIn-Context Learning | —Unverified | 0 |
| Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs | Aug 22, 2024 | Fact CheckingIn-Context Learning | CodeCode Available | 0 |
| Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models | Aug 22, 2024 | In-Context LearningKnowledge Distillation | —Unverified | 0 |
| Clinical Insights: A Comprehensive Review of Language Models in Medicine | Aug 21, 2024 | EthicsIn-Context Learning | —Unverified | 0 |
| Memorization in In-Context Learning | Aug 21, 2024 | In-Context LearningMemorization | —Unverified | 0 |
| Benchmarking Large Language Models for Math Reasoning Tasks | Aug 20, 2024 | BenchmarkingIn-Context Learning | CodeCode Available | 0 |
| V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard? | Aug 20, 2024 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation | Aug 20, 2024 | Code CompletionCode Generation | CodeCode Available | 3 |
