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XinyangDavidHan submitted a paper 1 day ago

Agents' Last Exam

Shangding-Gu submitted a paper 9 days ago

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI

Xuandong submitted a paper about 2 months ago

Self-Sovereign Agent

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Papers

Agents' Last Exam

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI

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Berkeley 's papers 20

Submitted by

Han

Agents' Last Exam

Berkeley

Submitted by

Shangding Gu

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI

Berkeley

Submitted by

Yunkai Zhang

Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models

Berkeley

Submitted by

Hanchen Li

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

Berkeley

Submitted by

Shreya Shankar

Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents

Berkeley

Submitted by

Haocheng Xi

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Berkeley

Submitted by

Haocheng Xi

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

Berkeley

Offline Materials Optimization with CliqueFlowmer

Berkeley

Submitted by

Harman Singh

V_1: Unifying Generation and Self-Verification for Parallel Reasoners

Berkeley

Submitted by

Xuandong Zhao

Self-Sovereign Agent

Berkeley

Submitted by

Zhanhui Zhou

dLLM: Simple Diffusion Language Modeling

Berkeley

Submitted by

Jintao Zhang

SLA2: Sparse-Linear Attention with Learnable Routing and QAT

Berkeley

5

Submitted by

Xianyang Liu

AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions

Berkeley

Submitted by

Xuandong Zhao

InfoSynth: Information-Guided Benchmark Synthesis for LLMs

Berkeley

Submitted by

Chuyi Shang

Latent Implicit Visual Reasoning

Berkeley

5

Submitted by

Yongyuan Liang

MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning

Berkeley

Submitted by

Roei Herzig

Learning to Grasp Anything by Playing with Random Toys

Berkeley

Submitted by

Zhixuan Liang

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing

Berkeley

Submitted by

Toby Kreiman

Transformers Discover Molecular Structure Without Graph Priors

Berkeley

The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains

Berkeley