173 paper takes since 2026-08-19
NSC ranks architectures from spec alone—no data or training—and its DP solver finds the globally optimal layout under resource constraints in seconds.
RGBD20K pairs 20,000 RGB-D images with 160 fine-grained categories, quadrupling the semantic coverage of NYUv2 and SUN RGB-D.
RewardVerse uses generated rubrics as an intermediate step before scoring to reduce scalar drift in video reward models trained with a two-stage RL algorithm.
An evaluation framework that dynamically transforms test repositories to detect whether coding agents rely on memorized cues rather than genuine reasoning.
Hunyuan-A13B is an open-source 80B/13B-active MoE model with a dual-mode CoT that switches between fast and slow reasoning by task complexity.
MemBodied adds fixed-size episodic memory to Vision-Language-Action models, achieving 7.81× the success rate of a stateless policy on memory-dependent tasks.
Every pick in the Wire gets the same treatment: read, verified, and given a written verdict.
VHD-Play generates agentic RL environments by solving a mathematical model first, then rendering its dynamics as stateful tools with built-in scoring.
RecCAR is a KL regularizer for joint video diffusion transformers that aligns weak modality-to-video attention toward the stronger video-to-modality direction.
GAE is an autoencoder whose latent space decodes jointly to appearance, depth, cameras, and point maps, cutting FVD by 12.7% and 23.1% on two benchmarks.
ScriptMoE beats large VLMs on multilingual OCR by routing images to script-aligned sparse experts, covering 229 languages at far lower cost.
Ovis-Embedding unifies text, image, video, and audio in one backbone and claims top results on five retrieval benchmarks including MMEB-v3 and MVEB.
StableVQ fixes VQ tokenizer training instability by giving the encoder and codebook separate, independent learning objectives and schedules.
Every pick in the Wire gets the same treatment: read, verified, and given a written verdict.
A decision-only judge that accepts confident verdicts and escalates uncertain ones, retaining 99% of a comparator's accuracy at 0.36% of its fee.
Flash-dLLM combines an I/O-aware KV-cache kernel with self-drafted decoding to hit 5.1x–11x speedups on diffusion LLMs, no auxiliary model needed.
A repository of formalized mathematics grown and maintained by AI agents.
AIDE² ran for 8 days rewriting its own code and found 7 successive improvements that transferred to held-out benchmarks, including reduced reward hacking.
A study finding that collusion emerges in 94% of trajectories when LLM agents repeatedly verify each other's work under reward pressure across 10 models.
A full-duplex dialogue system using separate audio-visual and audio models for continuous perception, native speech generation, and asynchronous tool execution.
Every pick in the Wire gets the same treatment: read, verified, and given a written verdict.
RRSI applies regularization to recursive agent-harness self-improvement, gaining up to 4.7 points on out-of-distribution benchmarks across eight tasks.
A benchmark suite pairing 5,000 hours of AAA gameplay footage from 21 games with multi-horizon instructions and offline/online evaluation tracks.
An interactive annotation tool that uses token-level correction to steer LLM outputs, reducing median annotation time by 52% over manual post-editing.
A category-aware RL framework that trains per-category software engineering agents and distills them into one policy, reaching 58.04% resolution on Pro-618.
A three-layered architecture for building role-playing agents organized into observable expression, latent beliefs, and core motivational drives.
CARE improves VLA robot recovery by learning from real failed rollouts, gaining 14.5 pts in simulation and 15.9 pts in real dual-arm tasks.