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Contents

AI Agent Papers·2026
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Show-Harness: Just a VLM Agent Can Play Robots

Yanzhe Chen, Zechen Bai +8

Lets vision-language models control robots via a compact semantic action interface that maps intent to discrete action units; supports zero-shot use of closed-source VLMs, low-cost fine-tuning of open VLMs, and GUI-based demonstration collection.

#paper#embodied-ai#robotics#vision#multimodal+2
AI Video Papers·2026
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Programmable World Model

Zheng-Hui Huang, Guixu Lin +9

Translates natural-language instructions into executable programs that maintain an explicit, persistent global world state and compiles state-augmented 3D oriented bounding boxes into pixel-aligned conditioning signals for pretrained video generators. The approach decouples state evolution from rendering, enabling programmable entity control, off-screen state, and long-horizon interactive scenarios.

#world-model#ai-video#video#coding-agents#agent-skills+5
Hugging Face
AI Audio·2026
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YuE2-3B

Ruibin Yuan, Hanfeng Lin +56·Multimodal Art Projection (MAP), Hong Kong University of Science and Technology (HKUST)

Generates full songs from lyrics and a style prompt, producing vocals and accompaniment and exporting editable symbolic scores for melody/chord control. Uses symbolic planning with agentic multi-turn editing and runs local 48 kHz inference on a 24GB GPU.

#flow-matching#safetensors#pytorch#huggingface#vllm+7
Hugging Face
AI Audio·2026
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Confucius4-R2T2

NetEase Youdao

Provides low-latency, true-streaming automatic speech recognition that emits append-only committed transcripts to avoid partial-result rollbacks. Supports configurable decoding chunks (80 ms–2 s), optimized for Chinese and English, and offers vLLM and transformers backends for real-time deployment.

#qwen#vllm#safetensors#huggingface#ASR+5
Hugging Face
AI Dataset·2026
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arXiv Complete Corpus

secemp9

Snapshot delivery of arXiv metadata, submission files and rendered documents in multiple Parquet configs (metadata, paper_text, latex, source, pdf, ps). Includes ~3.15M papers, full-text TeX assemblies and indexes to fetch large assets for training, retrieval and analysis.

#paper#parquet#huggingface#training-data#research+3
Computer Vision Papers·2026
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Mi-Ripple: Restoring Images Degraded by Iterative AI Editing

Jiayin Chen, Yicheng Xu +1·Miyang Technology (Shanghai) Co., Ltd., Shanghai, China, Key Laboratory of System Software (Chinese Academy of Sciences), Beijing, China +4

Suppresses grid-like and granular “digital ripple” artifacts introduced by iterative reference-conditioned image editing using selective spectral notching, structure-aware smoothing, and cleaned-reference regeneration. Prioritizes low-distortion filtering when artifacts are spectrally separable and visual reconstruction when artifacts overlap content.

#paper#vision#image#ai-image#research
Hugging Face
AI Model·2026
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DeepSeek-V4.1-Flash

DeepSeek-AI

A multimodal Mixture-of-Experts foundation model with a million-token context window; uses a causal encoder–decoder layout and aggressive KV-cache compression (~890 bytes/token) to limit per-token activation to 8B/16B—designed for long-context, agentic, and multimodal workloads.

#deepseek#multimodal#moe#fp8#fp4+9
Hugging Face
AI Dataset·2026
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Yootta/World-SimReady-Home

Yootta, Shangpin Zhaipai (尚品宅配)

Simulation-ready home dataset for embodied AI: CAD-based household scenes with configured physical properties and metadata, plus 1,000 robot trajectory episodes (RGB-D, HDF5/USDZ) for simulation training and evaluation under CC BY-NC-SA 4.0.

#robotics#embodied-ai#video#image#depth+4
AI Agent Papers·2026
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The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

Yi Duan, Ying Liu +33·Shanghai Jiao Tong University, Theseus Labs +5

Defines recursive self-improvement (RSI) with an evaluation metric (Headroom-Closed Index) and a five-level autonomy roadmap—from executing human-specified improvements to recursively improving improvement mechanisms—while analyzing scenarios, verification challenges, and governance risks.

#paper#llm#ai-agent#evaluation#benchmarks+3
Computer Vision Papers·2026
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SenseNova-U1.5: Towards Native Unified Visual Intelligence

Haiwen Diao, Jiahao Wang +63·OpenSenseNova

An 8B native unified multimodal model that understands, reasons about, and generates high-fidelity visual content without a separate visual encoder or VAE—focused on spatially coherent patch reconstruction, native 4K generation, multi-expert distillation, and improved text rendering and image editing.

#multimodal#vision#image#foundation-model#distillation+2
Speech Technology Papers·2026
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X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation

Haojun Zhang, Yi Zou +8·Affiliation: Xini Ding, Hao Li, Shuchang Zhou, Xianming Liu, Shiyu Huang‡, Affiliation: XPeng Inc.

Progressively prunes and distills audio encoders for speech LLMs to cut inference cost while preserving decoder-facing embeddings, using behavioral probes, representation alignment, cross-scale distillation and LoRA finetuning; reports reduced macro-error on Chinese–English benchmarks.

#distillation#lora#qwen#speech#audio+4
Hugging Face
AI Model·2026
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DeepSeek-V4.1-Flash — UNCENSORED-FP8

Jordan Schenck·dealignai, deepseek-ai +1

Provides a drop-in checkpoint of DeepSeek-V4.1-Flash with weight-level abliteration that removes safety guardrails to produce uncensored outputs; preserves vision, MoE routing, 1M-token context and native FP8 quantization. Intended for advanced self-hosted deployment; requires large NVLink GPU domains and careful serving setup.

#deepseek#multimodal#moe#fp8#transformers+7
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