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leonsick submitted a paper about 12 hours ago

On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models

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Papers

On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models

Unsupervised Tool Evolution for Coding Agents in Data-Lake Analytics

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google 's papers 114

Submitted by

Leon Sick

On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models

google

1

Submitted by

Deqing Fu

Unsupervised Tool Evolution for Coding Agents in Data-Lake Analytics

google

2

Submitted by

Tianle Chen

DeLoop: Repeated Actions as Self-Supervision for Long-Horizon Agents

google

T2J-BENCH: Benchmarking Coding Agents on Execution-Grounded PyTorch-to-JAX Repository Migration

google

Submitted by

Yuxiang Lai

CLASHarness: Benchmarking Multi-Agent Conflict in Computer Use via a Controllable and Verifiable Generation Pipeline

google

Submitted by

Shubham Agarwal

DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck

google

Submitted by

Ruiyao Xu

Harness^2: Recursive Agent Harnessing for an Open World

google

Submitted by

Maximilian Schlegel

Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks

google

Submitted by

Mingtian Tan

SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting

google

Submitted by

taesiri

Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

google

Submitted by

Chuxuan Hu

RPTune: Learned Context Curation for LLM Catalog Search

google

2

Submitted by

Caiqi Zhang

VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks

google