Aug 11, 2026
CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation
CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation introduces a framework designed to generate realistic online discussion threads about...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Aug 11, 2026
Towards Expert-level Medical AI for Real-time Video Consultations
Towards Expert-level Medical AI for Real-time Video Consultations presents AMIE (Articulate Medical Intelligence Explorer), a multi-agent AI system designed...
Aug 10, 2026
Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing
Fisher-R1 is an open-weight large language model (LLM) agent designed to perform reliable scientific hypothesis testing.
Aug 10, 2026
TEPA: Revoking Stale Memories for Conflict-Robust Language Agents
TEPA (Revocable Evidence-Memory Mechanism) is a system designed to solve the "memory pollution" problem in language agents, where outdated information remain...
Aug 10, 2026
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
CoBa (Compute-Balanced routing) addresses the inefficiency of test-time scaling in large language models by treating reasoning as a dynamic compute-allocatio...
Aug 10, 2026
Blast Radius
Blast Radius is a memory management layer designed to make agentic coding more affordable and sustainable by reducing the number of tokens consumed during lo...
Aug 10, 2026
Post-Grokking Collapse at the Representation-Readout Interface in Muon-Trained Transformers
Post-Grokking Collapse at the Representation-Readout Interface in Muon-Trained Transformers investigates why transformer models trained with the Muon optimiz...
Aug 10, 2026
SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent
SkillProx is a framework designed to improve how LLM agents refine their procedural knowledge.
Aug 10, 2026
A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy
A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy investigates how converting numerical time-seri...
Aug 10, 2026
ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
ResidencyRL is a reinforcement learning method designed to train clinical AI agents by simulating the full sequence of a patient encounter.
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