Engineering
The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks
Researchers introduce Taste-Bench, a benchmark that measures an LLM agent’s “taste” — its ability to make good long-horizon decisions at…
Engineering
Realtime-Venus: A full-duplex interaction system with asynchronous delegation
Realtime-Venus is a full-duplex conversational AI system built from two separately trained 9B models — one for audio-visual interaction and…
Engineering
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs
Flash-dLLM is a training-free inference acceleration framework for diffusion large language models that identifies GPU memory I/O, rather than compute,…
Engineering
SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops
SiliconBench benchmarks nine LLM serving engines on Apple Silicon unified-memory desktops across speed, memory headroom, and output fidelity rather than…
Engineering
Agensh: Scaling Organizational Intelligence to 1,024 Agents
Agensh is a multi-agent harness that removes the central-orchestrator bottleneck limiting existing multi-agent frameworks by having concurrent workers self-organize —…
Engineering
Recursive self-improvement of AI research agents
The paper presents AIDE^2, a system in which an AI research agent recursively rewrites and benchmarks its own code, keeping…
Engineering
Bellman Policy Optimization
Bellman Policy Optimization (BPO) is a critic-free reinforcement learning method for LLM reasoning that reformulates Policy Mirror Descent as a…
Engineering
StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
StableVQ addresses training instability in vector-quantized visual tokenizers by arguing the root cause is entanglement between encoder-decoder and codebook training,…
Engineering
JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
JEV-as-a-Judge is a decision-only LLM evaluation model designed as a cheap first-pass filter, tested against sixteen generative and reward-model judges…
Engineering
Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles
This paper introduces mutation analysis to measure whether GPU-kernel benchmark correctness checkers — which now feed leaderboards and RL reward…
News
StepFun Launches Step 5 Preview, a 600B-Parameter Model for AI Agents
StepFun unveiled Step 5 Preview, a proprietary 600-billion-parameter sparse mixture-of-experts model aimed at long-horizon agent workloads such as software engineering,…
News
Trump Announces Plan to Create an ‘AI Force’ and Appoint an AI Czar
President Donald Trump announced plans to create a new ‘AI Force,’ modeled on the Space Force, and to appoint an…