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Collections including paper arxiv:2309.12499
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SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Paper • 2402.02519 • Published -
Mixtral of Experts
Paper • 2401.04088 • Published • 153 -
Optimal Transport Aggregation for Visual Place Recognition
Paper • 2311.15937 • Published -
GOAT: GO to Any Thing
Paper • 2311.06430 • Published • 14
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AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 19 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 12 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
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CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69 -
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Paper • 2310.08588 • Published • 32 -
SALMON: Self-Alignment with Principle-Following Reward Models
Paper • 2310.05910 • Published • 3 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 29
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 50