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LangChain — Every AI Framework, Tracked

LangChain · LangGraph · LangSmith · LLM chain · agent framework

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LangChain Intelligence

New WMLLM Framework Uses Predict-Then-Act Agents to Tackle Black-Box Optimization
New WMLLM Framework Uses Predict-Then-Act Agents to Tackle Black-Box Optimization
A groundbreaking paper from arXiv proposes World Modeling via Large Language Models (WMLLM), introducing self-evolving optimization agents that predict optimiza…
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18d agoarxiv
Prompt-Space Meta-Learning Fails User Transferability Test
Prompt-Space Meta-Learning Fails User Transferability Test
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Frozen LLM Meta-Learning Fails to Personalize Across Users
Frozen LLM Meta-Learning Fails to Personalize Across Users
A new arXiv study reveals that prompt-space meta-learning for frozen large language models does not reliably transfer personalization across users, challenging …
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18d agoarxiv
Frozen-LLM Meta-Learning Fails User Transfer, Study Finds
Frozen-LLM Meta-Learning Fails User Transfer, Study Finds
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
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18d agoarxiv
Frozen-LLM Meta-Learning Fails User-Specific Personalization
Frozen-LLM Meta-Learning Fails User-Specific Personalization
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
WMLLM Introduces Self-Evolving Agents for Smarter Optimization
WMLLM Introduces Self-Evolving Agents for Smarter Optimization
A new preprint from arXiv proposes World Modeling via Language and Large Models (WMLLM), a framework that uses predictive world modeling to guide optimization a…
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18d agoarxiv
Meta-Learning in Prompt Space Fails to Personalize Across Users
Meta-Learning in Prompt Space Fails to Personalize Across Users
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Frozen-LLM Meta-Learning Fails User Transfer: Study Reveals Hard Limits
Frozen-LLM Meta-Learning Fails User Transfer: Study Reveals Hard Limits
A new paper from arXiv exposes a critical flaw in current prompt-based personalization techniques for LLMs, showing that meta-learning in prompt space does not …
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18d agoarxiv
Meta-Learning Prompts Fail to Personalize Across Users, Study Reveals
Meta-Learning Prompts Fail to Personalize Across Users, Study Reveals
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
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18d agoarxiv
Frozen-LLM Prompt Meta-Learning Fails Personalization Test
Frozen-LLM Prompt Meta-Learning Fails Personalization Test
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
WMLLM Agents: The Next Leap in Self-Optimizing AI Systems
WMLLM Agents: The Next Leap in Self-Optimizing AI Systems
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Frozen-LLM Personalization Fails Across Users in arXiv Study
Frozen-LLM Personalization Fails Across Users in arXiv Study
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Meta-Learning Fails to Transfer Across Users in Frozen LLM Tests
Meta-Learning Fails to Transfer Across Users in Frozen LLM Tests
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Prompt-space meta-learning fails to transfer between users in frozen LLMs
Prompt-space meta-learning fails to transfer between users in frozen LLMs
Researchers demonstrate that prompt-space meta-learning does not effectively transfer personalized adaptations across different users when using frozen large la…
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18d agoarxiv
WMLLM Introduces Self-Optimizing Agents with Predict-Then-Act World Modeling
WMLLM Introduces Self-Optimizing Agents with Predict-Then-Act World Modeling
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Fine-Tuning Erases In-Context Learning Beneath the Surface
Fine-Tuning Erases In-Context Learning Beneath the Surface
A new arXiv paper reveals that attention-based proxies mislead when diagnosing in-context learning preservation during fine-tuning. Banking With Billy AI's real…
✓ Full Article Ready
19d agoarxiv
Landmark Study Reveals Fine-Tuning Blinds In-Context Learning Proxies
Landmark Study Reveals Fine-Tuning Blinds In-Context Learning Proxies
OpenPress frameworks — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
19d agoarxiv
New Benchmark ECCBench Rethinks How VLMs Remember
New Benchmark ECCBench Rethinks How VLMs Remember
A team from the University of Michigan and Adobe Research unveils ECCBench, a rigorous new benchmark that measures memory in vision-language models using Effici…
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19d agoarxiv
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