🤖🧠 Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers Arun Shankar, AI Engineer at Google

🗓️ 27 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving rapidly and at the center of this evolution is Reinforcement Learning (RL), the science of teaching machines to make better decisions through experience and feedback. In “Reinforcement Learning for Large Language Models: A Complete Guide from Foundations to Frontiers”, Arun Shankar, an Applied AI Engineer at Google presents one of the ...

#ReinforcementLearning #LargeLanguageModels #ArtificialIntelligence #MachineLearning #AIEngineer #Google

🔹 Title: VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting

🔹 Publication Date: Published on Oct 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21817
• PDF: https://arxiv.org/pdf/2510.21817
• Project Page: https://lxysl.github.io/VITA-E/
• Github: https://github.com/Tencent/VITA/tree/VITA-E

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🔹 Title: Language Server CLI Empowers Language Agents with Process Rewards

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22907
• PDF: https://arxiv.org/pdf/2510.22907
• Github: https://yifanzhang-pro.github.io/lanser-cli

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🔹 Title: Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23451
• PDF: https://arxiv.org/pdf/2510.23451
• Github: https://github.com/HongbangYuan/OmniReward

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🔹 Title: MARS-M: When Variance Reduction Meets Matrices

🔹 Publication Date: Published on Oct 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21800
• PDF: https://arxiv.org/pdf/2510.21800
• Project Page: https://github.com/AGI-Arena/MARS/tree/main/MARS_M
• Github: https://github.com/AGI-Arena/MARS/tree/main/MARS_M

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🔹 Title: Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23607
• PDF: https://arxiv.org/pdf/2510.23607
• Project Page: https://pointcept.github.io/Concerto/
• Github: https://github.com/Pointcept/Pointcept

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🔹 Title: FARMER: Flow AutoRegressive Transformer over Pixels

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23588
• PDF: https://arxiv.org/pdf/2510.23588

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🔹 Title: IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22706
• PDF: https://arxiv.org/pdf/2510.22706
• Github: https://github.com/lifuguan/IGGT_official

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

🔹 Publication Date: Published on Oct 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22733
• PDF: https://arxiv.org/pdf/2510.22733
• Project Page: https://alibaba-nlp.github.io/E2Rank/
• Github: https://alibaba-nlp.github.io/E2Rank

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🔹 Title: PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23603
• PDF: https://arxiv.org/pdf/2510.23603
• Project Page: https://circleradon.github.io/PixelRefer/
• Github: https://github.com/alibaba-damo-academy/PixelRefer

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🔹 Title: LimRank: Less is More for Reasoning-Intensive Information Reranking

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23544
• PDF: https://arxiv.org/pdf/2510.23544

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🔹 Title: RobotArena infty: Scalable Robot Benchmarking via Real-to-Sim Translation

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23571
• PDF: https://arxiv.org/pdf/2510.23571

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

🔹 Publication Date: Published on Oct 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21003
• PDF: https://arxiv.org/pdf/2510.21003
• Github: https://imagination-research.github.io/distilled-decoding/

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

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23594
• PDF: https://arxiv.org/pdf/2510.23594
• Github: https://github.com/JornyWan/PRISM-Bench

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🔹 Title: ReCode: Unify Plan and Action for Universal Granularity Control

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23564
• PDF: https://arxiv.org/pdf/2510.23564

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🔹 Title: Knocking-Heads Attention

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23052
• PDF: https://arxiv.org/pdf/2510.23052

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

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22946
• PDF: https://arxiv.org/pdf/2510.22946
• Project Page: https://ucsc-vlaa.github.io/LightBagel/

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🔹 Title: LongCat-Video Technical Report

🔹 Publication Date: Published on Oct 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22200
• PDF: https://arxiv.org/pdf/2510.22200
• Github: https://github.com/meituan-longcat/LongCat-Video

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🔹 Title: Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23581
• PDF: https://arxiv.org/pdf/2510.23581
• Project Page: https://lookahead-anchoring.github.io/
• Github: https://lookahead-anchoring.github.io/

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

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23605
• PDF: https://arxiv.org/pdf/2510.23605

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🔹 Title: VoMP: Predicting Volumetric Mechanical Property Fields

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22975
• PDF: https://arxiv.org/pdf/2510.22975
• Project Page: https://research.nvidia.com/labs/sil/projects/vomp

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