🔹 Title: From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25123
• PDF: https://arxiv.org/pdf/2509.25123
• Github: https://github.com/PRIME-RL/RL-Compositionality

🔹 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: Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23808
• PDF: https://arxiv.org/pdf/2509.23808
• Project Page: https://hf618.github.io/VERL.github.io/
• Github: https://github.com/hf618/VERL

🔹 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: Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24981
• PDF: https://arxiv.org/pdf/2509.24981
• Github: https://github.com/tinnerhrhe/ROVER

🔹 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: Advancing Reference-free Evaluation of Video Captions with Factual Analysis

🔹 Publication Date: Published on Sep 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16538
• PDF: https://arxiv.org/pdf/2509.16538

🔹 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: Towards Personalized Deep Research: Benchmarks and Evaluations

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25106
• PDF: https://arxiv.org/pdf/2509.25106

🔹 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: Scaling Generalist Data-Analytic Agents

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25084
• PDF: https://arxiv.org/pdf/2509.25084

🔹 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: SCI-Verifier: Scientific Verifier with Thinking

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24285
• PDF: https://arxiv.org/pdf/2509.24285
• Github: https://github.com/Zhengsh123/SCI-Verifier

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/desimfj/SCI-VerifyBench

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT

🔹 Title: BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24908
• PDF: https://arxiv.org/pdf/2509.24908
• Project Page: https://huggingface.co/datasets/bertin-project/BOE-XSUM

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/bertin-project/BOE-XSUM

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT

🔹 Title: PARROT: A Benchmark for Evaluating LLMs in Cross-System SQL Translation

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23338
• PDF: https://arxiv.org/pdf/2509.23338
• Project Page: https://code4db.github.io/parrot-bench/
• Github: https://github.com/weAIDB/PARROT

🔹 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: Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.23924
• PDF: https://arxiv.org/pdf/2509.23924
• Github: https://github.com/yjyddq/EOSER-ASS-RL

🔹 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: WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23219
• PDF: https://arxiv.org/pdf/2509.23219
• Project Page: https://lixin.ai/WirelessMathLM

🔹 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: Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23061
• PDF: https://arxiv.org/pdf/2509.23061
• Project Page: https://DafnyComp.github.io/
• Github: https://DafnyComp.github.io/

🔹 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: BPMN Assistant: An LLM-Based Approach to Business Process Modeling

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24592
• PDF: https://arxiv.org/pdf/2509.24592
• Github: https://github.com/jtlicardo/bpmn-assistant

🔹 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: Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23233
• PDF: https://arxiv.org/pdf/2509.23233
• Github: https://github.com/stanford-oval/inconsistency-detection

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT

Please help me collect a donation for an urgent and very necessary matter.

The amount is $300

I hope everyone will help me

PayPal:
https://www.paypal.me/HusseinSheikho

Usdt TRC-20 Address:
TMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7

Thanks

🔹 Title: Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25541
• PDF: https://arxiv.org/pdf/2509.25541
• Github: https://github.com/wangqinsi1/Vision-Zero

🔹 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: TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25760
• PDF: https://arxiv.org/pdf/2509.25760

🔹 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: OceanGym: A Benchmark Environment for Underwater Embodied Agents

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26536
• PDF: https://arxiv.org/pdf/2509.26536
• Project Page: https://oceangpt.github.io/OceanGym/
• Github: https://github.com/OceanGPT/OceanGym

🔹 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: DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder

🔹 Publication Date: Published on Sep 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25182
• PDF: https://arxiv.org/pdf/2509.25182

🔹 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: Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26625
• PDF: https://arxiv.org/pdf/2509.26625
• Project Page: https://junlinhan.github.io/projects/lsbs/

🔹 Datasets citing this paper:
No datasets found

🔹 Spaces citing this paper:
No spaces found
==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT