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Papers

Training AI Co-Scientists Using Rubric Rewards

HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming

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facebook 's Papers 33

Submitted by

Shashwat Goel

Training AI Co-Scientists Using Rubric Rewards

Submitted by

Haonan Qiu

HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming

Submitted by

taesiri

SAM Audio: Segment Anything in Audio

Submitted by

Zeyuan Allen-Zhu

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers

Submitted by

Yushi Hu

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image

Submitted by

Tariq Berrada

Flowception: Temporally Expansive Flow Matching for Video Generation

Submitted by

Zhaochong An

OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory

2

Submitted by

taesiri

Scaling Zero-Shot Reference-to-Video Generation

Submitted by

taesiri

TV2TV: A Unified Framework for Interleaved Language and Video Generation

Submitted by

taesiri

TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models

Submitted by

taesiri

WorldGen: From Text to Traversable and Interactive 3D Worlds

Submitted by

taesiri

SAM 3: Segment Anything with Concepts

Submitted by

taesiri

SAM 3D: 3Dfy Anything in Images

Submitted by

Amar Budhiraja

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity

3

Submitted by

Amar Budhiraja

Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance

Submitted by

L

Mixture of States: Routing Token-Level Dynamics for Multimodal Generation

Submitted by

Hanqing Zhu

The Path Not Taken: RLVR Provably Learns Off the Principals

Submitted by

taesiri

DigiData: Training and Evaluating General-Purpose Mobile Control Agents

Submitted by

taesiri

CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark

Submitted by

Jason Weston

SPICE: Self-Play In Corpus Environments Improves Reasoning

Submitted by

Deren Lei

Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models

1

Submitted by

Niels Rogge

The Art of Scaling Reinforcement Learning Compute for LLMs

Submitted by

Hritik Bansal

HoneyBee: Data Recipes for Vision-Language Reasoners

Submitted by

Jack Zhang

The Alignment Waltz: Jointly Training Agents to Collaborate for Safety

Submitted by

Lin Long

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

4

Submitted by

Niels Rogge

OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows

4

Submitted by

Jacob Kahn

CWM: An Open-Weights LLM for Research on Code Generation with World Models

Submitted by

Zhepei Wei

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning

Submitted by

zhipeng cai

DepthLM: Metric Depth From Vision Language Models

Submitted by

Chuanyang Jin

The Era of Real-World Human Interaction: RL from User Conversations

3

Submitted by

Niels Rogge

DINOv3

Submitted by

Jianyuan Wang

VGGT: Visual Geometry Grounded Transformer

Submitted by

Niels Rogge

Cluster and Predict Latents Patches for Improved Masked Image Modeling