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Papers

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification

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google 's Papers 20

Submitted by

Maximilian Schlegel

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

google

5

Submitted by

Qihao Liu

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification

google

Submitted by

Yunkai Zhang

Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language

google

Submitted by

Arthur Xie

Efficiently Reconstructing Dynamic Scenes One D4RT at a Time

google

Submitted by

Tengxiao Liu

Budget-Aware Tool-Use Enables Effective Agent Scaling

google

Submitted by

taesiri

Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation

google

Submitted by

I-Hung Hsu

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

google

Submitted by

I-Hung Hsu

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality

google

Submitted by

i

Soft Instruction De-escalation Defense

google

1

Submitted by

i

Extracting alignment data in open models

google

5

Submitted by

Do Xuan Long

VISTA: A Test-Time Self-Improving Video Generation Agent

google

2

Submitted by

Nilesh Gupta

LLM-guided Hierarchical Retrieval

google

Submitted by

Kaizhao Liang

Cautious Weight Decay

google

Submitted by

i

SynthID-Image: Image watermarking at internet scale

google

2

Submitted by

taesiri

Watch and Learn: Learning to Use Computers from Online Videos

google

Submitted by

Zhangchen Xu

CoDA: Agentic Systems for Collaborative Data Visualization

google

Submitted by

taesiri

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation

google

Submitted by

Zhuohang Li

Judging with Confidence: Calibrating Autoraters to Preference Distributions

google

2

Submitted by

taesiri

Regression Language Models for Code

google

Submitted by

Xingyou Song

Performance Prediction for Large Systems via Text-to-Text Regression

google