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upvoted a paper about 3 hours ago

Scaling Inherently Interpretable Language Models

Paper • 2608.07594 • Published 11 days ago • 21

upvoted a collection about 3 hours ago

07. IA agentica

Collection

100 items • Updated 5 days ago • 2

upvoted a paper about 3 hours ago

Stealing Reasoning Traces from Proprietary LLM APIs

Paper • 2608.09867 • Published 7 days ago • 104

upvoted a collection about 3 hours ago

Frontis-MA1

Collection

6 items • Updated 17 days ago • 24

upvoted 2 papers about 3 hours ago

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Paper • 2607.28568 • Published 18 days ago • 184

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?

Paper • 2606.24530 • Published Jun 23 • 66

upvoted 2 papers 12 days ago

MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training

Paper • 2606.30406 • Published Jun 29 • 24

GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding

Paper • 2607.27042 • Published 19 days ago • 21

upvoted 4 papers 16 days ago

ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation

Paper • 2607.13124 • Published Jul 14 • 20

TREK: Distill to Explore, Reinforce to Refine

Paper • 2607.05339 • Published Jul 6 • 9

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Paper • 2607.02980 • Published Jul 3 • 84

WARP: Weight-Space Analysis for Recovering Training Data Portfolios

Paper • 2607.01686 • Published Jul 2 • 11

upvoted 2 papers 18 days ago

Generative World Renderer at the Speed of Play

Paper • 2607.18703 • Published 27 days ago • 83

Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

Paper • 2607.10169 • Published Jul 11 • 14

upvoted an article 18 days ago

view article

Article

LFM2.5-Encoders for Fast Long-Context Inference on CPU

• 

LiquidAI

•

19 days ago

• 68

upvoted a paper 24 days ago

KAT-Coder-V2.5 Technical Report

Paper • 2607.05471 • Published Jul 6 • 12

upvoted 4 papers 27 days ago

What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness

Paper • 2607.08046 • Published Jul 9 • 14

Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models

Paper • 2605.26895 • Published May 26 • 23

DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning

Paper • 2605.25604 • Published May 25 • 139

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation

Paper • 2605.11739 • Published May 13 • 61