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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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πŸ”Ή Title: FARMER: Flow AutoRegressive Transformer over Pixels

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23588
β€’ PDF: https://arxiv.org/pdf/2510.23588

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πŸ”Ή Title: IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

πŸ”Ή Publication Date: Published on Oct 26

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22706
β€’ PDF: https://arxiv.org/pdf/2510.22706
β€’ Github: https://github.com/lifuguan/IGGT_official

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πŸ”Ή Title: E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker

πŸ”Ή Publication Date: Published on Oct 26

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22733
β€’ PDF: https://arxiv.org/pdf/2510.22733
β€’ Project Page: https://alibaba-nlp.github.io/E2Rank/
β€’ Github: https://alibaba-nlp.github.io/E2Rank

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πŸ”Ή Title: PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23603
β€’ PDF: https://arxiv.org/pdf/2510.23603
β€’ Project Page: https://circleradon.github.io/PixelRefer/
β€’ Github: https://github.com/alibaba-damo-academy/PixelRefer

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πŸ”Ή Title: LimRank: Less is More for Reasoning-Intensive Information Reranking

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23544
β€’ PDF: https://arxiv.org/pdf/2510.23544

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πŸ”Ή Title: RobotArena infty: Scalable Robot Benchmarking via Real-to-Sim Translation

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23571
β€’ PDF: https://arxiv.org/pdf/2510.23571

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πŸ”Ή Title: Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

πŸ”Ή Publication Date: Published on Oct 23

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.21003
β€’ PDF: https://arxiv.org/pdf/2510.21003
β€’ Github: https://imagination-research.github.io/distilled-decoding/

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πŸ”Ή Title: PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23594
β€’ PDF: https://arxiv.org/pdf/2510.23594
β€’ Github: https://github.com/JornyWan/PRISM-Bench

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πŸ”Ή Title: ReCode: Unify Plan and Action for Universal Granularity Control

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23564
β€’ PDF: https://arxiv.org/pdf/2510.23564

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πŸ”Ή Title: Knocking-Heads Attention

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23052
β€’ PDF: https://arxiv.org/pdf/2510.23052

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πŸ”Ή Title: LightBagel: A Light-weighted, Double Fusion Framework for Unified Multimodal Understanding and Generation

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22946
β€’ PDF: https://arxiv.org/pdf/2510.22946
β€’ Project Page: https://ucsc-vlaa.github.io/LightBagel/

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πŸ”Ή Title: LongCat-Video Technical Report

πŸ”Ή Publication Date: Published on Oct 25

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22200
β€’ PDF: https://arxiv.org/pdf/2510.22200
β€’ Github: https://github.com/meituan-longcat/LongCat-Video

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πŸ”Ή Title: Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23581
β€’ PDF: https://arxiv.org/pdf/2510.23581
β€’ Project Page: https://lookahead-anchoring.github.io/
β€’ Github: https://lookahead-anchoring.github.io/

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πŸ”Ή Title: Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23605
β€’ PDF: https://arxiv.org/pdf/2510.23605

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πŸ”Ή Title: VoMP: Predicting Volumetric Mechanical Property Fields

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22975
β€’ PDF: https://arxiv.org/pdf/2510.22975
β€’ Project Page: https://research.nvidia.com/labs/sil/projects/vomp

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πŸ”Ή Title: A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23587
β€’ PDF: https://arxiv.org/pdf/2510.23587
β€’ Github: https://github.com/HKUSTDial/awesome-data-agents

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πŸ”Ή Title: Code Aesthetics with Agentic Reward Feedback

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23272
β€’ PDF: https://arxiv.org/pdf/2510.23272
β€’ Project Page: https://bangx7.github.io/code-aesthetics/

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πŸ”Ή Title: Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling

πŸ”Ή Publication Date: Published on Oct 25

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22317
β€’ PDF: https://arxiv.org/pdf/2510.22317
β€’ Github: https://github.com/antalvdb/olifant

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πŸ”Ή Title: Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMS

πŸ”Ή Publication Date: Published on Oct 26

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.22603
β€’ PDF: https://arxiv.org/pdf/2510.22603
β€’ Github: https://github.com/umbertocappellazzo/Llama-AVSR

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❀1
πŸ€–πŸ§  Free for 1 Year: ChatGPT Go’s Big Move in India

πŸ—“οΈ 28 Oct 2025
πŸ“š AI News & Trends

On 28 October 2025, OpenAI announced that its mid-tier subscription plan, ChatGPT Go, will be available free for one full year in India starting from 4 November. (www.ndtv.com) What is ChatGPT Go? What’s the deal? Why this matters ? Things to check / caveats What should users do? Broader implications This move by OpenAI indicates ...

#ChatGPTGo #OpenAI #India #FreeAccess #ArtificialIntelligence #TechNews
πŸ”Ή Title: The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation

πŸ”Ή Publication Date: Published on Oct 27

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.23393
β€’ PDF: https://arxiv.org/pdf/2510.23393

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