Seonglae Cho

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upvoted a paper 2 days ago

AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspace

Paper • 2608.23740 • Published 5 days ago • 7

upvoted a paper 3 days ago

Automata from Agent Traces: Failure and Next-Step Prediction

Paper • 2608.23670 • Published 5 days ago • 4

upvoted a paper 29 days ago

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features

Paper • 2602.10437 • Published Feb 12 • 2

upvoted a paper 30 days ago

OptimismBench: Forecasting Bias and the Alignment Effect in Language Model Judgment

Paper • 2607.26981 • Published Jul 29 • 2

upvoted a paper about 1 month ago

Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects

Paper • 2607.20596 • Published Jul 22 • 2

upvoted a paper 7 months ago

CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Selection

Paper • 2508.12535 • Published Aug 18, 2025 • 2

upvoted a paper about 1 year ago

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies

Paper • 2506.17673 • Published Jun 21, 2025 • 7