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DailyPapers
@HuggingPapers
Tweeting interesting papers submitted at Submit your own at and link models/datasets/demos to it!
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Alibaba releases a new training framework for software engineering agents It develops category experts via iterative Refresh–Repair–Expand (RRE) and consolidates them into one deployable model with label-routed multi-teacher distillation (MOPD). Achieves 58.04% on Pro-618 and 59.00% on SWE-bench Multilingual.
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SpeakerMem-R1 A speaker-centered dual-track memory for multi-party dialogue that stores verbatim messages and organizes derived states by person and group, tackling attribution and state reconstruction.
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Microsoft just released rho-roboeval on Hugging Face A new model for robotics evaluation.
RoboDawn: Transferring the Intelligence of VLMs to Robotic Control Tsinghua and Tencent Hunyuan show a frozen VLM can drive robots through simple move, rotate and gripper commands, reaching 73.6% one-shot success on RoboTwin 2.0 C2R.
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Tencent ARC Lab just released GameHorizon Suite A unified data and evaluation suite measuring AAA gameplay capabilities across multiple temporal horizons for VLMs, UMMs, GUI, coding, and game agents.
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Alibaba's Qwen team just released RecreationWorld on Hugging Face A five-platform sandbox where hybrid computer-use agents explore real apps, implement them, and visually verify their own builds.
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Code2Skill A fully automated pipeline that transforms 19,769 open-source repositories into over 1 million verified, reusable procedural skills for AI agents.
NVIDIA's SoL-Pi, now on Hugging Face paper pages A token-efficient agent harness built by recursively scaling auto-research loops. It cuts token traffic by 44.7-49.0% and API cost by about one third while preserving performance.
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Coding agent harnesses, taken apart A new study isolates planning, action space, and context management across 176 settings. Key finding: context management matters most when budgets are tight, and planning flips from accuracy to efficiency as models improve.
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NVIDIA just released FoundationPose on Hugging Face A unified foundation model for 6-DoF object pose estimation and tracking that works on novel objects without fine-tuning.
PhysBrain 1.5: Open-source SOTA for Embodied AI A single 8B model that understands scenes, generates robot actions, and predicts future frames — all as tokens. 72.5 on 28 benchmarks, beating all open models.
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DataFlex-RL A controlled evaluation platform for RLVR data policies, comparing rollout selection, reweighting, and domain-mixture choices under a shared GRPO recipe.
SWE-Bench Pro Verified OpenCompass released a verified version of SWE-Bench Pro that fixes reward hacking and task-quality issues, revealing frontier models score far lower than previously reported.
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AgentGrad: Intervention-guided Prompt Optimization Improves multi-agent prompt optimization via sequential intervention and semantic textual gradient abstraction, achieving SOTA on 5 MAS benchmarks and 2.5x faster optimization.
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Tencent releases AuK, a unified speech generation and editing model It handles zero-shot TTS, instruction-driven content/acoustic/paralinguistic editing, plus enhancement and separation through one natural-language interface. The distilled AuK-Flash version runs 4.5x faster.
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FlowBalance: verifier-grounded self-improvement for reasoning models Improves math reasoning by +2.12 avg over GRPO on Qwen3-8B, with faster training, better stability, and higher solution diversity.
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Why the recurrent half of a hybrid LLM is actually easy to quantize Minima quantized all 496 linear layers of Qwen3.8-27B — including Gated DeltaNet — to NVFP4 W4A4, matching BF16 performance while cutting size ~2.9×
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NVIDIA just released the NVFP4 quantized Qwen3.8-Flash-Next on Hugging Face 125B MoE with hybrid attention, now 63% smaller with minimal accuracy loss.
Compile by Training Turn natural-language specs into small neural programs that run locally on a compact interpreter. Compilation takes about a minute, and on FuzzyBench-Hard it hits 83.6% semantic accuracy.
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Terminal-Universe A framework that reconstructs realistic terminal environments from agent trajectories, yielding 37.3k task-sufficient workspaces for post-training and evaluation.
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