In-Context Learning

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning CVPR 2024 Skills-in-Context: Unlocking Compositionality in Large Language Models EMNLP 2024 Small Models are Valuable Plug-ins for Large Language Models ACL 2024 Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024 Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024 Teaching Large Language Models an Unseen Language on the Fly ACL 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 Thoughts to Target: Enhance Planning for Target-driven Conversation EMNLP 2024 Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection NeurIPS 2024 Towards More Unified In-context Visual Understanding CVPR 2024 TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems EMNLP 2024 Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024 Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining ICLR 2024 Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024 TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives NeurIPS 2024 Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024 UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NeurIPS 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unsupervised Human Preference Learning EMNLP 2024 Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024