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Daily AI Papers Briefing (2026-02-21)
【本日の論文】
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
3. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
4. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
https://huggingface.co/papers/2602.15569
5. Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
https://huggingface.co/papers/2602.16699
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
3. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
4. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
https://huggingface.co/papers/2602.15569
5. Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
https://huggingface.co/papers/2602.16699
View all episodes
By ksterx【本日の論文】
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
3. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
4. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
https://huggingface.co/papers/2602.15569
5. Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
https://huggingface.co/papers/2602.16699
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
3. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
4. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
https://huggingface.co/papers/2602.15569
5. Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
https://huggingface.co/papers/2602.16699