Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge Paper • 2608.28478 • Published 17 days ago • 20
ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL Paper • 2608.28476 • Published 17 days ago • 28
CausalMix: Data Mixture as Causal Inference for Language Model Training Paper • 2607.01104 • Published Jul 1 • 22
BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language Paper • 2606.22138 • Published Jun 20 • 26
Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding Paper • 2605.02290 • Published May 4 • 43
AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Paper • 2605.15565 • Published May 15 • 18
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence Paper • 2605.26494 • Published May 26 • 42
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning Paper • 2606.15007 • Published Jun 12 • 20
VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models Paper • 2606.16140 • Published Jun 15 • 128
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Paper • 2606.15079 • Published Jun 13 • 88
Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning Paper • 2605.30039 • Published May 29 • 21
MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection Paper • 2605.30288 • Published May 29 • 23
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations Paper • 2606.05165 • Published Jun 3 • 4
LLM Explainability with Counterfactual Chains and Causal Graphs Paper • 2606.05972 • Published Jun 4 • 19
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams Paper • 2606.07454 • Published Jun 5 • 15
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models Paper • 2606.11025 • Published Jun 9 • 42
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling Paper • 2606.13473 • Published Jun 11 • 97
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs Paper • 2604.10480 • Published Apr 12 • 20
Nemotron-Post-Training-v3 Collection Collection of datasets used in the post-training phase of Nemotron Nano, Super, and Ultra v3. • 50 items • Updated Aug 11 • 200
Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Paper • 2603.03202 • Published Mar 3 • 18