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Your guide to the latest AI and machine learning research. We unpack complex papers into actionable insights for practitioners and enthusiasts alike.

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Iris-3B: Going Beyond the Latent with Pixel-Space...
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2026/10/08
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DeCoPrune: Efficient KV-Cache Pruning for...
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2026/10/07
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Beyond Semantic Similarity: Performance and Costs of...
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2026/10/06
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4DCodeBench: Benchmarking Agents on Inverse Graphics...
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2026/10/05
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SemanTok: Predictable Semantic Tokens for Efficient...
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2026/10/04
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Transformers Stop Thinking Too Early, and a Tiny LoRA...
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2026/10/03
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Decoding Looped Transformers Better for (Almost) Free
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2026/10/02
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Prompted Identity Degrades Cooperation in Multi-Agent...
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2026/10/01
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Periodic Weak Spots: Phase Sensitivity from Chunked...
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2026/09/30
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Scaling Long-Form Story Generation via Narrative...
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2026/09/29
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IndicBankBench: Evaluating Safety and Reliability of...
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2026/09/28
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Your Transformer Can Hold Two Thoughts at Once:...
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2026/09/27
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Neural Spectral Capacity: Measuring and Designing...
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2026/09/26
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RGBD20K: A Large-Scale Benchmark for RGB-D Semantic...
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2026/09/25
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FAMOS: Feed-Forward 3D Articulation Modeling from...
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2026/09/19
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Self-Evolving Search Index
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2026/09/18
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Rethinking Critic Learning in PPO: Understanding and...
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2026/09/17
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The Last AI Built by Humans: Toward Genuine Recursive...
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2026/09/16
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Thought without systematicity? Evaluating reasoning...
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2026/09/15
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Mind2Dialogue: Training Human-Aware Language Models...
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2026/09/14
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