Recent Research Signals

Found 16 results

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Paper	Possible Impact	Features	Possible Business Area
LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess Artificial Intelligence	Tests how well AI plays and understands chess.	University of California, Berkeley Code	Machine Learning (78%)	Score: 3 4 days ago
Multi-Objective Agentic Rewrites for Unstructured Data Processing Databases	Makes smart computer programs cheaper and more accurate.	University of Washington Google University of California, Berkeley	Natural Language Processing (79%)	Score: 3 4 days ago
ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics Machine Learning (CS)	Finds hidden patterns in cancer cells.	University of California, Berkeley Code 2 Countries	Bioinformatics (76%)	Score: 3 3 days ago
Artographer: a Curatorial Interface for Art Space Exploration Human-Computer Interaction	Helps you find art connections on a visual map.	University of California, Berkeley University of Washington Code	Human Computer Interaction (80%)	Score: 3 4 days ago
Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments Machine Learning (CS)	Teaches robots to learn faster, even with imperfect symmetry.	University of California, Berkeley 2 Countries	A/B Testing (75%)	Score: 2 5 days ago
Markov Chains Approximate Message Passing Data Structures and Algorithms	Helps computers find hidden patterns in noisy data.	Massachusetts Institute of Technology University of California, Berkeley	A/B Testing (75%)	Score: 2 4 days ago
Markov Chains Approximate Message Passing Data Structures and Algorithms	Helps computers find hidden patterns in messy data.	University of California, Berkeley Massachusetts Institute of Technology	A/B Testing (75%)	Score: 2 4 days ago
MAX BISECTION might be harder to approximate than MAX CUT Computational Complexity	Proves current method can't perfectly split graph problems.	University of California, Berkeley 2 Countries	A/B Testing (72%)	Score: 2 1 day ago
ZIP-RC: Zero-overhead Inference-time Prediction of Reward and Cost for Adaptive and Interpretable Generation Machine Learning (CS)	Helps AI know when it's right or wrong.	University of California, Berkeley	A/B Testing (75%)	Score: 1 4 days ago
Inferring Dynamic Hidden Graph Structure in Heterogeneous Correlated Time Series Methodology	Finds hidden connections between changing signals.	University of California, Berkeley	Predictive Analytics (76%)	Score: 1 4 days ago
Synthetic Error Injection Fails to Elicit Self-Correction In Language Models Artificial Intelligence	Teaching computers to fix their own mistakes failed.	University of California, Berkeley	Natural Language Processing (78%)	Score: 1 4 days ago
ZIP-RC: Optimizing Test-Time Compute via Zero-Overhead Joint Reward-Cost Prediction Machine Learning (CS)	Lets AI know when it's right or wrong.	University of California, Berkeley	A/B Testing (76%)	Score: 1 4 days ago
Does Head Pose Correction Improve Biometric Facial Recognition? CV and Pattern Recognition	Fixes blurry face pictures for better ID.	University of California, Berkeley	Facial Recognition (81%)	Score: 1 3 days ago
Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space Machine Learning (CS)	Teaches computers to learn better by explaining mistakes.	University of California, Berkeley	Natural Language Processing (82%)	Score: 1 1 day ago
Measuring Agents in Production Computers and Society	Makes smart computer helpers work in real jobs.	University of California, Berkeley	Artificial Intelligence (85%)	Score: 1 3 days ago
Patient Safety Risks from AI Scribes: Signals from End-User Feedback Computers and Society	AI scribes might make medical mistakes.	University of California, Berkeley	Electronic Health Record (EHR) (79%)	Score: 1 4 days ago