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2025
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
05-20
MemGPT: Towards LLMs as Operating Systems
05-18
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
05-13
PLAN-AND-ACT: Improving Planning of Agents for Long-Horizon Tasks
05-11
Intorduction to LangMem
05-06
HuatuoGPT-o1: Towards Medical Complex Reasoning with LLMs
01-31
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
01-27
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
01-26
2024
REPLUG: Retrieval-Augmented Black-Box Language Models
10-31
RAFT: Adapting Language Model to Domain Specific RAG
10-31
Python's Small Integer Cache: Faster Code with a Hidden Trick
10-03
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
07-29
Better & Faster Large Language Models via Multi-token Prediction
07-18
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
07-08
GAIA: A Benchmark for General AI Assistants
06-27
ChatEval: Towards Better LLM-Based Evaluators Through Multi-Agent Debate
06-23
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
04-24
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
04-10
The 3 Stages of LLM Training: A Deep Dive into Reinforcement Learning from Human Feedback (RLHF)
02-27
DPO:Direct Preference Optimization
02-27
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