Amazon researchers introduce ControlG, a framework that applies industrial control-theory principles, including PID controllers, spectral-demand metrics, and Pareto efficiency theory,…
Google Research presents Science One, an experimental autonomous research agent system built around Chain-of-Evidence (CoE), a verifiability protocol requiring that…
Amazon researchers describe Turnstile, a Rust-based proxy that sits between an agent harness and its inference backend to capture exact…
A Hugging Face blog post presents a reproducible method for determining whether a language model was trained from scratch or…
Researchers introduce OPID, an on-policy skill distillation framework for training language agents that addresses the sparse-reward problem in long-horizon reinforcement…
A paper describes RTP-LLM, an LLM inference engine designed to address deployment bottlenecks in production serving. It combines file-order-driven parallel…
A new benchmark called OSReward evaluates how reliable vision-language models are when used as automated judges of computer-using agent trajectories…
A paper proposes UniME-R1, a multimodal retrieval framework that generates reasoning conditioned on retrieval feedback rather than the query alone.…
Researchers present CalibForge, a system that automatically synthesizes and calibrates training tasks for terminal-use AI agents based on verified solver…
Hugging Face engineer Erik Kaum introduced Lattice, a static embedding model built on tokenization and a lookup table with mean…
Researchers from ARTPARK-IISc released Vaani-LID_v0, a language identification model trained on 10 hours each of 42 Indian languages drawn from…
Developer DedeProGames reverse-engineered a social-deduction game’s engine and 59×34 map from six log files to build a benchmark for evaluating…
