AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Paper ā¢ 2410.20424 ā¢ Published Oct 27, 2024 ā¢ 40
Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines Paper ā¢ 2412.14684 ā¢ Published 24 days ago ā¢ 1
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking Paper ā¢ 2410.12375 ā¢ Published Oct 16, 2024 ā¢ 3
DynaSaur: Large Language Agents Beyond Predefined Actions Paper ā¢ 2411.01747 ā¢ Published Nov 4, 2024 ā¢ 21
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant Paper ā¢ 2410.18603 ā¢ Published Oct 24, 2024 ā¢ 32
AgentInstruct: Toward Generative Teaching with Agentic Flows Paper ā¢ 2407.03502 ā¢ Published Jul 3, 2024 ā¢ 51
MALT: Improving Reasoning with Multi-Agent LLM Training Paper ā¢ 2412.01928 ā¢ Published Dec 2, 2024 ā¢ 40
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Paper ā¢ 2408.06292 ā¢ Published Aug 12, 2024 ā¢ 118
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level Paper ā¢ 2411.03562 ā¢ Published Nov 5, 2024 ā¢ 65
view article Article š®š¹šÆšµš§š· Generating multilingual instruction datasets with Magpie š¦āā¬ By anakin87 ā¢ Oct 21, 2024 ā¢ 18
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Paper ā¢ 2409.17146 ā¢ Published Sep 25, 2024 ā¢ 106
Molmo Collection Artifacts for open multimodal language models. ā¢ 5 items ā¢ Updated 6 days ago ā¢ 292
Moshi v0.1 Release Collection MLX, Candle & PyTorch model checkpoints released as part of the Moshi release from Kyutai. Run inference via: https://github.com/kyutai-labs/moshi ā¢ 13 items ā¢ Updated Sep 18, 2024 ā¢ 225
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications Paper ā¢ 2409.07314 ā¢ Published Sep 11, 2024 ā¢ 51
Ļ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains Paper ā¢ 2406.12045 ā¢ Published Jun 17, 2024 ā¢ 6
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper ā¢ 2408.03314 ā¢ Published Aug 6, 2024 ā¢ 54