SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory Paper • 2411.11922 • Published Nov 18 • 18
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback Paper • 2410.19133 • Published Oct 24 • 11
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Paper • 2004.07667 • Published Apr 16, 2020
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation Paper • 2305.16938 • Published May 26, 2023
Lexical Generalization Improves with Larger Models and Longer Training Paper • 2210.12673 • Published Oct 23, 2022
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) Paper • 2006.07235 • Published Jun 12, 2020
Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild Paper • 2311.06237 • Published Nov 10, 2023 • 1
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research Paper • 2306.16900 • Published Jun 29, 2023
Efficient Methods for Natural Language Processing: A Survey Paper • 2209.00099 • Published Aug 31, 2022 • 1
Can Language Models Solve Graph Problems in Natural Language? Paper • 2305.10037 • Published May 17, 2023 • 1
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding Paper • 2305.14739 • Published May 24, 2023
In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning Paper • 2308.04275 • Published Aug 8, 2023 • 1