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⑦3 records
Multimodal
- Sep 3, 2026Chuyan Chen et al. — LLaDA-Image released — publishes a unified image-generation framework that attaches a vision-language understanding module based on LLaDA2.0-Mini to a 6B-scale Diffusion Transformer, together with the full training recipe. Also released LLaDA-Image-Turbo for 2–4-step inference; uses parameter-free RMSNorm and the Muon optimizer
- Sep 3, 2026Hongyu Qu et al. — LatentStream released — a framework that changes the existing "store, then retrieve" setup in streaming video understanding into "retrieve, then internalize". It organizes visual history into short, medium and long term with a query-agnostic hierarchical streaming memory, widens the receptive field of latent memory tokens to absorb past evidence, and optimizes the memory with hierarchical rewards built from group-wise prediction entropy
③2 records
Tools & Agents
- Sep 3, 2026Zhiyuan Fan et al. — Environment Evolution for Terminal Agents released — points out that existing co-evolution methods depend on on-policy rollouts, so the learning signal dries up as the model gets stronger, and presents a method that raises environment difficulty gradually off-policy and schedules environments evolved generation by generation
- Sep 3, 2026Jie Wu et al. — Terminal-Universe released — starting from the observation that the tool-execution histories in existing agent trajectories reveal the structure and content of their environments as they are, it synthesizes terminal environments at scale by replaying file operations to reconstruct partial workspaces and filling in missing files and dependencies. Reports generating 37.3k environments usable as tasks
⑪2 records
Model Architecture & Training Methods
- Sep 3, 2026Yuntian Deng et al. — Compile by Training released — presents a way to "compile" natural-language specifications into reusable neural functions. Explains that at compile time a teacher model generates examples for training a small adapter, and later calls are handled by the local adapter, removing the recurring cost, latency and provider dependence of remote model calls. Says compiling takes about 1 minute
- Aug 27, 2026Tingyun Li et al. — Boundary-Calibrated Intervention Transfer (BCIT) released — asks, for autonomous post-training systems, whether a past training success still holds after the model has changed, and presents a method that binds past effects to their original context and approves the reuse of experience only after checking the conditions under which it applies
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