Filtered to Research papers · clear filter
Tencent's WorkBuddy Bench evaluates coding agents across code, web, office and security domains, with task construction designed to resist training-data contamination. ICAE-Bench takes a different angle, scoring agents on building software from incomplete product intent rather than from a tidy specification. Both are…
Source ↗AREX, a Hugging Face paper with 115 upvotes, describes an agent that recursively self-improves at deep research tasks. It's part of a run of work on agents that refine their own strategies rather than staying fixed after training. Early research, but a signal of where autonomous research agents are heading — worth a…
Source ↗Four of the top Hugging Face daily papers this week are embodied and robotics-flavoured: Xiaomi-Robotics-1 (vision-language-action at scale), RynnBrain, HOMIE, and Apple-π. If you track where research attention is moving, it's toward physical-world grounding, not just chat.
Source ↗A new paper (SWE-Pruner Pro) proposes that coding-focused LLMs already carry enough internal signal to identify which parts of a large context window are safe to prune, rather than needing a separate pruning model. Early-stage research, not yet something to build on, but worth watching given how much agentic-coding…
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