🔹 Title: The Markovian Thinker
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06557
• PDF: https://arxiv.org/pdf/2510.06557
• Github: https://github.com/McGill-NLP/the-markovian-thinker
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🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06557
• PDF: https://arxiv.org/pdf/2510.06557
• Github: https://github.com/McGill-NLP/the-markovian-thinker
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🔹 Title: Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06953
• PDF: https://arxiv.org/pdf/2510.06953
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🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06953
• PDF: https://arxiv.org/pdf/2510.06953
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🔹 Title: Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
🔹 Publication Date: Published on Oct 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04230
• PDF: https://arxiv.org/pdf/2510.04230
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KOREAson/YiSang-STEM_Code-Unfiltered
• https://huggingface.co/datasets/KOREAson/YiSang-HighQuality
• https://huggingface.co/datasets/KOREAson/YiSang-3.7M
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🔹 Publication Date: Published on Oct 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04230
• PDF: https://arxiv.org/pdf/2510.04230
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KOREAson/YiSang-STEM_Code-Unfiltered
• https://huggingface.co/datasets/KOREAson/YiSang-HighQuality
• https://huggingface.co/datasets/KOREAson/YiSang-3.7M
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🔹 Title: CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
🔹 Publication Date: Published on Oct 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04204
• PDF: https://arxiv.org/pdf/2510.04204
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04204
• PDF: https://arxiv.org/pdf/2510.04204
🔹 Datasets citing this paper:
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🔹 Title: PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06475
• PDF: https://arxiv.org/pdf/2510.06475
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06475
• PDF: https://arxiv.org/pdf/2510.06475
🔹 Datasets citing this paper:
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🔹 Title: FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06426
• PDF: https://arxiv.org/pdf/2510.06426
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06426
• PDF: https://arxiv.org/pdf/2510.06426
🔹 Datasets citing this paper:
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🔹 Title: Glocal Information Bottleneck for Time Series Imputation
🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04910
• PDF: https://arxiv.org/pdf/2510.04910
• Github: https://github.com/Muyiiiii/NeurIPS-25-Glocal-IB
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🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04910
• PDF: https://arxiv.org/pdf/2510.04910
• Github: https://github.com/Muyiiiii/NeurIPS-25-Glocal-IB
🔹 Datasets citing this paper:
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🔹 Title: A Single Character can Make or Break Your LLM Evals
🔹 Publication Date: Published on Oct 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05152
• PDF: https://arxiv.org/pdf/2510.05152
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05152
• PDF: https://arxiv.org/pdf/2510.05152
🔹 Datasets citing this paper:
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🔹 Title: Code Agent can be an End-to-end System Hacker: Benchmarking Real-world Threats of Computer-use Agent
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06607
• PDF: https://arxiv.org/pdf/2510.06607
• Project Page: https://eddyluo.com/AdvCUA/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/MomoUchi/AdvCUA
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06607
• PDF: https://arxiv.org/pdf/2510.06607
• Project Page: https://eddyluo.com/AdvCUA/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/MomoUchi/AdvCUA
🔹 Spaces citing this paper:
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🔹 Title: Reinforcement Mid-Training
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24375
• PDF: https://arxiv.org/pdf/2509.24375
• Github: https://github.com/Mid-Training/RMT
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24375
• PDF: https://arxiv.org/pdf/2509.24375
• Github: https://github.com/Mid-Training/RMT
🔹 Datasets citing this paper:
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🔹 Title: M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06888
• PDF: https://arxiv.org/pdf/2510.06888
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06888
• PDF: https://arxiv.org/pdf/2510.06888
🔹 Datasets citing this paper:
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🔹 Title: NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08565
• PDF: https://arxiv.org/pdf/2510.08565
• Project Page: https://internvl.github.io/blog/2025-10-10-NaViL/
• Github: https://github.com/OpenGVLab/NaViL
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08565
• PDF: https://arxiv.org/pdf/2510.08565
• Project Page: https://internvl.github.io/blog/2025-10-10-NaViL/
• Github: https://github.com/OpenGVLab/NaViL
🔹 Datasets citing this paper:
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🔹 Title: Agent Learning via Early Experience
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08558
• PDF: https://arxiv.org/pdf/2510.08558
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08558
• PDF: https://arxiv.org/pdf/2510.08558
🔹 Datasets citing this paper:
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❤1
🔹 Title: MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08540
• PDF: https://arxiv.org/pdf/2510.08540
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08540
• PDF: https://arxiv.org/pdf/2510.08540
🔹 Datasets citing this paper:
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🔹 Title: UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG
🔹 Publication Date: Published on Oct 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03663
• PDF: https://arxiv.org/pdf/2510.03663
• Github: https://github.com/SalesforceAIResearch/UniDoc-Bench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Salesforce/UniDoc-Bench
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🔹 Publication Date: Published on Oct 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03663
• PDF: https://arxiv.org/pdf/2510.03663
• Github: https://github.com/SalesforceAIResearch/UniDoc-Bench
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Salesforce/UniDoc-Bench
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🔹 Title: DeepPrune: Parallel Scaling without Inter-trace Redundancy
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08483
• PDF: https://arxiv.org/pdf/2510.08483
• Project Page: https://deepprune.github.io/
• Github: https://github.com/THU-KEG/DeepPrune
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/THU-KEG/DeepPrune
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08483
• PDF: https://arxiv.org/pdf/2510.08483
• Project Page: https://deepprune.github.io/
• Github: https://github.com/THU-KEG/DeepPrune
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/THU-KEG/DeepPrune
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🔹 Title: Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03222
• PDF: https://arxiv.org/pdf/2510.03222
• Github: https://github.com/CarlanLark/Lp-Reg-dev
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🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03222
• PDF: https://arxiv.org/pdf/2510.03222
• Github: https://github.com/CarlanLark/Lp-Reg-dev
🔹 Datasets citing this paper:
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🔹 Title: Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08431
• PDF: https://arxiv.org/pdf/2510.08431
• Github: https://github.com/NVlabs/rcm
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08431
• PDF: https://arxiv.org/pdf/2510.08431
• Github: https://github.com/NVlabs/rcm
🔹 Datasets citing this paper:
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🔹 Title: UniVideo: Unified Understanding, Generation, and Editing for Videos
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08377
• PDF: https://arxiv.org/pdf/2510.08377
• Project Page: https://congwei1230.github.io/UniVideo/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08377
• PDF: https://arxiv.org/pdf/2510.08377
• Project Page: https://congwei1230.github.io/UniVideo/
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🔹 Title: First Try Matters: Revisiting the Role of Reflection in Reasoning Models
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08308
• PDF: https://arxiv.org/pdf/2510.08308
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08308
• PDF: https://arxiv.org/pdf/2510.08308
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❤1
🔹 Title: NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07172
• PDF: https://arxiv.org/pdf/2510.07172
• Github: https://github.com/HKUST-KnowComp/NewtonBench
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🔹 Publication Date: Published on Oct 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07172
• PDF: https://arxiv.org/pdf/2510.07172
• Github: https://github.com/HKUST-KnowComp/NewtonBench
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