🔹 Title: Baichuan-M2: Scaling Medical Capability with Large Verifier System
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02208
• PDF: https://arxiv.org/pdf/2509.02208
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02208
• PDF: https://arxiv.org/pdf/2509.02208
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: GenCompositor: Generative Video Compositing with Diffusion Transformer
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02460
• PDF: https://arxiv.org/pdf/2509.02460
• Project Page: https://gencompositor.github.io/
• Github: https://github.com/TencentARC/GenCompositor
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02460
• PDF: https://arxiv.org/pdf/2509.02460
• Project Page: https://gencompositor.github.io/
• Github: https://github.com/TencentARC/GenCompositor
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02133
• PDF: https://arxiv.org/pdf/2509.02133
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02133
• PDF: https://arxiv.org/pdf/2509.02133
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01363
• PDF: https://arxiv.org/pdf/2509.01363
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01363
• PDF: https://arxiv.org/pdf/2509.01363
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00581
• PDF: https://arxiv.org/pdf/2509.00581
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00581
• PDF: https://arxiv.org/pdf/2509.00581
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Metis: Training Large Language Models with Advanced Low-Bit Quantization
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00404
• PDF: https://arxiv.org/pdf/2509.00404
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00404
• PDF: https://arxiv.org/pdf/2509.00404
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Fantastic Pretraining Optimizers and Where to Find Them
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02046
• PDF: https://arxiv.org/pdf/2509.02046
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02046
• PDF: https://arxiv.org/pdf/2509.02046
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤1
🔹 Title: Benchmarking Optimizers for Large Language Model Pretraining
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01440
• PDF: https://arxiv.org/pdf/2509.01440
• Github: https://github.com/epfml/llm-optimizer-benchmark
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01440
• PDF: https://arxiv.org/pdf/2509.01440
• Github: https://github.com/epfml/llm-optimizer-benchmark
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00425
• PDF: https://arxiv.org/pdf/2509.00425
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00425
• PDF: https://arxiv.org/pdf/2509.00425
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: MobiAgent: A Systematic Framework for Customizable Mobile Agents
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00531
• PDF: https://arxiv.org/pdf/2509.00531
• Github: https://github.com/IPADS-SAI/MobiAgent/releases/download/v1.0/Mobiagent.apk
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00531
• PDF: https://arxiv.org/pdf/2509.00531
• Github: https://github.com/IPADS-SAI/MobiAgent/releases/download/v1.0/Mobiagent.apk
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01584
• PDF: https://arxiv.org/pdf/2509.01584
• Project Page: https://ganlinzhang.xyz/vista-slam/
• Github: https://github.com/zhangganlin/vista-slam
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01584
• PDF: https://arxiv.org/pdf/2509.01584
• Project Page: https://ganlinzhang.xyz/vista-slam/
• Github: https://github.com/zhangganlin/vista-slam
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: DCPO: Dynamic Clipping Policy Optimization
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02333
• PDF: https://arxiv.org/pdf/2509.02333
• Github: https://github.com/lime-RL/DCPO
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02333
• PDF: https://arxiv.org/pdf/2509.02333
• Github: https://github.com/lime-RL/DCPO
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
🔹 Publication Date: Published on Aug 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.20586
• PDF: https://arxiv.org/pdf/2508.20586
• Project Page: https://github.com/Zheng-Chong/FastFit
• Github: https://github.com/Zheng-Chong/FastFit
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/zhengchong/DressCode-MR
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.20586
• PDF: https://arxiv.org/pdf/2508.20586
• Project Page: https://github.com/Zheng-Chong/FastFit
• Github: https://github.com/Zheng-Chong/FastFit
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/zhengchong/DressCode-MR
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤2
🔹 Title: ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
🔹 Publication Date: Published on Aug 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2508.21496
• PDF: https://arxiv.org/pdf/2508.21496
• Github: https://github.com/hlsv02/ELV-Halluc
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/HLSv/ELV-Halluc
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2508.21496
• PDF: https://arxiv.org/pdf/2508.21496
• Github: https://github.com/hlsv02/ELV-Halluc
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/HLSv/ELV-Halluc
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: DynaGuard: A Dynamic Guardrail Model With User-Defined Policies
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://huggingface.co/collections/tomg-group-umd/dynaguard-68af4d916ae81d06ef774523
• PDF: https://arxiv.org/pdf/2509.02563
• Project Page: https://taruschirag.github.io/DynaGuard/
• Github: https://github.com/montehoover/DynaGuard
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/tomg-group-umd/DynaBench
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/tomg-group-umd/DynaGuard
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://huggingface.co/collections/tomg-group-umd/dynaguard-68af4d916ae81d06ef774523
• PDF: https://arxiv.org/pdf/2509.02563
• Project Page: https://taruschirag.github.io/DynaGuard/
• Github: https://github.com/montehoover/DynaGuard
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/tomg-group-umd/DynaBench
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/tomg-group-umd/DynaGuard
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Stairway to Fairness: Connecting Group and Individual Fairness
🔹 Publication Date: Published on Aug 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.21334
• PDF: https://arxiv.org/pdf/2508.21334
• Github: https://github.com/theresiavr/stairway-to-fairness
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.21334
• PDF: https://arxiv.org/pdf/2508.21334
• Github: https://github.com/theresiavr/stairway-to-fairness
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00605
• PDF: https://arxiv.org/pdf/2509.00605
• Github: https://github.com/rishiraj/gam
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.00605
• PDF: https://arxiv.org/pdf/2509.00605
• Github: https://github.com/rishiraj/gam
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01790
• PDF: https://arxiv.org/pdf/2509.01790
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01790
• PDF: https://arxiv.org/pdf/2509.01790
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Title: Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02523
• PDF: https://arxiv.org/pdf/2509.02523
• Github: https://github.com/moonshine-ai/moonshine
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Sep 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02523
• PDF: https://arxiv.org/pdf/2509.02523
• Github: https://github.com/moonshine-ai/moonshine
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤1
🔹 Title: On the Theoretical Limitations of Embedding-Based Retrieval
🔹 Publication Date: Published on Aug 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.21038
• PDF: https://arxiv.org/pdf/2508.21038
• Github: https://github.com/google-deepmind/limit
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/orionweller/LIMIT
• https://huggingface.co/datasets/orionweller/LIMIT-small
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
🔹 Publication Date: Published on Aug 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2508.21038
• PDF: https://arxiv.org/pdf/2508.21038
• Github: https://github.com/google-deepmind/limit
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/orionweller/LIMIT
• https://huggingface.co/datasets/orionweller/LIMIT-small
🔹 Spaces citing this paper:
No spaces found
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
❤2