🚨Another surge in progress for reinforcement learning this week, provided by Beyond the 80/20 Rule, ProRL, and AReal all pushing the boundaries.🚀 Check out the top 10 papers for the week👇 - Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

🚨There’s a new ceiling for efficient reasoning with the rise of Learning to Reason without External Rewards, along with AgriFM pushing the boundaries of AI to even agriculture🚀 Check out the top 10 papers for the week👇 - Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers

🚨Clear your schedule for a recap of a tremendous week featuring DeepSeek-V3 along with BLIP3-o’s improvements in multimodal architecture 🚀 Check out the top 10 papers for the week👇 - Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

🚨Bright week for agents and representation learning, notably including X-Fusion’s remarkable progress in multimodal capabilities 🚀 Check out the top 10 papers for the week👇 - From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

🚨Don’t miss out on this high-impact week for AI and reinforcement learning, featuring greedy agents, test-time RL, and a powerful new benchmark for LLM physical reasoning 🚀 Check out the top 10 papers for the week👇 - TTRL: Test-Time Reinforcement Learning

🚨Don’t miss this week’s immense developments in optimizing reasoning, along with advanced visual embedding capabilities.🚀 Check out the top 10 papers for the week👇 - Reasoning Models Can Be Effective Without Thinking

🚨Huge week for video generation and multimodal models, with detailed one-minute video generation and more efficient approaches to multimodality 🚀 Check out the top 10 papers for the week👇 - Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

Introducing Deep Research for arXiv Ask questions like 'What are the latest breakthroughs in RL fine-tuning?' and get comprehensive lit reviews with trending papers automatically included Turn hours of literature searches into seconds with AI-powered research context ⚡

Introducing Llama 4 for understanding arXiv papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references

🚨Notable week for scaling, with shocking improvements in visual representation learning as well as reward modeling vastly expanding LLM capabilities 🚀 Check out the top 10 papers for the week👇 - What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Reinforcement learning for retrieval-augmented reasoning 🚀 Baichuan introduces ReSearch, an RL framework that teaches LLMs to reason with search from scratch Outperforms RAG baselines No supervised data on reasoning steps Simple & generalizable Trending #1 on alphaXiv 📈

🚨Major week for reinforcement learning, with important strides in improving parameter tuning and reasoning capabilities paving the road for smarter LLMs 🚀 Check out the top 10 papers for the week👇 - Reasoning to Learn from Latent Thoughts

🚀This week was huge for foundation models, from generalist humanoid robots to multimodal LLMs that learn from human preferences and negative examples – here are the top 10 papers for the week🚨 - DAPO: An Open-Source LLM Reinforcement Learning System at Scale

We used Mistral OCR with Claude 3.7 to create blog-style overviews for arXiv papers Generate beautiful research blogs with figures, key insights, and clear explanations from the paper with just one click Understand papers in minutes - not hours

arXiv has been instrumental in advancing open CS research for decades -- we highly encourage everyone to support arXiv for Cornell Giving Day today!

Saw that @alphaxiv.org now has an AI feature to create paper overviews (using Mistral OCR and Claude), so I created one for new DES paper 2503.06712. Includes figures, key findings, etc. Once created, it's publicly available to everyone at the overview link. alphaXiv also has a cosmology community.

🚀This week, AI is soaring to new heights—whether it’s evolving language models through nature-inspired techniques, mastering video generation at scale, or crafting smarter, self-improving agents that think like swarms.🚨 - Nature-Inspired Population-Based Evolution of Large Language Models

🚀This week, AI is stepping into new dimensions—becoming co-scientists, sculpting 3D avatars, and blending cloud and on-device models into a seamless dance of creativity and efficiency.🚨 - Towards an AI co-scientist

🚀This week was huge for AI—whether through sparse attention, mastering long-context reasoning, or even creating million-dollar software engineering gigs, it's all about smarter, more efficient models shaping a dynamic future.🚨

Top Trending Papers on alphaXiv this week!📈 🚀From teaching themselves to predict the future to solving strategic social deduction, AI this week is discovering the hidden geometry of prompts, scaling reasoning, and rethinking what’s possible with less.🚨

1997: Deep Blue defeats Kasparov at chess 2016: AlphaGo masters the game of Go 2025: Stanford researchers crack Among Us Trending on alphaXiv 📈 Remarkable new work trains LLMs to master strategic social deduction through multi-agent RL, doubling win rates over standard RL.

We used DeepSeek-V3 to classify every AI paper on arXiv by topic (agents, VLMs, etc) 🚀 Now you can instantly filter to see what's trending in each area 🚨

Top Trending Papers on alphaXiv this week!📈 🚀This week, AI is leveling up—from solving Olympiad geometry with AlphaGeometry2 to generating motion with VideoJAM, while also mastering the art of reasoning and adversarial resilience with tools like DeepRAG and LIMO. 🚨

🚀 Pushing the limits of large-scale reasoning requires top-tier data! Check out this LLM-powered pipeline to curate 600k+ Olympiad-level math Q&A pairs and introduced LiveAoPSBench, a dynamic benchmark for contamination-resistant math evaluation. 📊🔥 #AI #Math #LLMs

I'm on @alphaxiv.org now! See you in the comments! Fancy Research Profile - michelle.alphaxiv.io Comment-able papers - www.alphaxiv.org/profile/6793... Thanks to @ml-collective.bsky.social for sharing this platform!

The alphaXiv Extension is now live on Firefox! Like papers directly on arXiv and see discussions on relevant papers in your community! Link to download: addons.mozilla.org/en-US/firefo...

🚀 From uncovering physical laws in videos to animating portraits and navigating the web, this week’s AI research has brought even more breakthroughs! 🚨 - Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning - WebWalker: Benchmarking LLMs in Web Traversal

Goodreads for arXiv papers💡 What if instead of arbitrary algorithms and tweets, arXiv papers were curated by your research community? Introducing communities on alphaXiv: bridging papers, discussions, and people in one space.

🚀 Whether it's exploring real-world super-resolution or advancing agent-based research, AI is pushing the boundaries of reasoning and creativity!🚨 - STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution

Are diffusion models secretly re-phrasings of evolutionary algorithms? YouTube: youtu.be/RMU5bgCJtyU Arxiv: arxiv.org/abs/2410.02543 @alphaxiv.org: alphaxiv.org/abs/2410.02543 Bytez: bytez.com/docs/arxiv/2...

🚀AI is not just thinking, it's reimagining creativity, reshaping safety, and revolutionizing video production! Starting the year off right!🚨 - An analytic theory of creativity in convolutional diffusion models - 2 OLMo 2 Furious - InfAlign: Inference-aware language model alignment

Happy 2025! Here's a look back at the the top 5 most discussed papers on alphaXiv in 2024: 1. The Llama 3 Herd of Models (w/ Meta AI) 2. LoRA: Low-Rank Adaptation of Large Language Models (w/ @edwardjhu) 3. KAN: Kolmogorov-Arnold Networks (w/ @ZimingLiu11)

The peer review process should be opened in economics. One way to do this is to embrace @alphaxiv.org www.alphaxiv.org/explore/papers

🚀From more and more advanced reasoning models to reconstructing the world in 3D—AI is reshaping reality. What a way to cap the year!🚨 - Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

🚀The return of BERT, LLMs that beat physicians?!, and the dawn of agents to simulate users. Presenting Santa's nice list for AI! 🎅 - ModernBERT - Superhuman performance of LLMs against Physicians (discussion with author @adamrodmanmd.bsky.social ) - LMagent: A Large-scale Multimodal Agents Society

Thank you so much @jieyusz.bsky.social and @mameister4.bsky.social! We're really glad that alphaXiv can help authors through community feedback and open discussion :)

I'm impressed with the new Profile feature from @alphaxiv.org! It would be even better if they included more structured sections, such as teaching experience, awards, grants, and others. omri.alphaxiv.io

It's now been months since I have started using alphaXiv (www.alphaxiv.org), a platform that allows anyone to comment on any arXiv paper.

🚀 Trending AI papers on alphaXiv this week - Star Attention (discussion with author @shantanuacharya.bsky.social) - One Diffusion to Generate Them All (discussion with author Duong Le from The Allen Institute for AI)

LLaVA-o1 is the first visual language model capable of systematic reasoning similar to GPT-o1 🚀 But how does it perform on multimodal math reasoning questions? 🔎 New numbers from LlaVA-o1 on the MathVision Dataset from author Guowei Xu LLaVA-o1 (11B): 23.7% Qwen2-VL-72B: 25.9% Qwen2-VL-7B: 16.3%

🚀Most read AI/ML papers on alphaXiv this week: 1. LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models (🔥5.5K reads) 2. LLaVA-o1: Let Vision Language Models Reason Step-by-Step (🔥4.5K reads) 3. LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation (🔥2.3K reads)

Finding good data mixtures for LLM training can be tricky - Aioli provides a unified framework to construct pre-training data mixtures. Talk to the authors @MayeeChen @michahu.bsky.social @nicholaslourie.bsky.social @kchonyc Christopher Ré @HazyResearch directly here!