Eureka: Human-Level Reward Design via Coding Large Language Models
Paper
• 2310.12931 • Published
• 26
Evo Algo
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GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 9 -
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Paper • 2311.05884 • Published • 9 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 8 -
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Paper • 2311.08877 • Published • 7 -
Thread of Thought Unraveling Chaotic Contexts
Paper • 2311.08734 • Published • 7 -
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Paper • 2311.08692 • Published • 13 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 32 -
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Paper • 2312.03664 • Published • 11 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 40 -
Faithful Persona-based Conversational Dataset Generation with Large Language Models
Paper • 2312.10007 • Published • 11 -
Cascade Speculative Drafting for Even Faster LLM Inference
Paper • 2312.11462 • Published • 10 -
Generative Multimodal Models are In-Context Learners
Paper • 2312.13286 • Published • 36 -
Exploiting Novel GPT-4 APIs
Paper • 2312.14302 • Published • 14 -
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Paper • 2401.01335 • Published • 68 -
Learning Universal Predictors
Paper • 2401.14953 • Published • 22 -
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Paper • 2402.04858 • Published • 15 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62