Notable data and AI papers

627 papers · 45 labs

Agents' Last Exam research paper by UC Berkeley, 2026

UC Berkeley · Agents and evaluation · Jun 3, 2026 · 42 citations · 393 upvotes

Read on arXiv

What it shows

Over 1,000 real, checkable professional tasks written with 250+ industry experts; the hardest tier is far from solved.

By Yiyou Sun, Xinyang Han, Weichen Zhang and 305 more · arXiv 2606.05405 · PDF · Code

Summarised by hand from the abstract.

More from UC Berkeley

All 14
ArchitecturesUnverifiedOct 14, 2026Correction Training for Diffusion ModelsThis method adds a correction step to diffusion models to fix errors that accumulate during the image generation process.UC Berkeley42 upvotesRead →Multimodal and roboticsUnverifiedSep 29, 2026OmniTaskonomy: When Does Visual Generation Improve Visual Understanding?This paper maps how visual generation tasks improve visual understanding capabilities, revealing specific task-dependent transfer benefits.UC Berkeley57 upvotesRead →Inference and efficiencyUnverifiedAug 17, 2026FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive ExecutionFreeToken is an edge-native Mixture-of-Experts serving system that dynamically maps computation and model state onto heterogeneous local hardware to run large open-weight models on personal machines.UC Berkeley8 citations86 upvotesRead →Agents and evaluationUnverifiedJun 17, 2026Playful Agentic Robot LearningEmbodied robots learn reusable skills through self-directed play and exploration, then apply these skills to improve performance on downstream tasks without additional training.UC Berkeley37 citations49 upvotesRead →Inference and efficiencyUnverifiedMar 10, 2026Flash-KMeans: Fast and Memory-Efficient Exact K-MeansFlash-kmeans enables efficient online k-means clustering on GPUs through novel kernel-level optimizations that eliminate I/O bottlenecks and reduce atomic write contention.UC Berkeley16 citations64 upvotesRead →Foundation modelsUnverifiedFeb 26, 2026dLLM: Simple Diffusion Language ModelingA unified open-source framework is presented that standardizes core components of diffusion language modeling for reproduction, customization, and accessible development of both large and small models.UC Berkeley18 citations136 upvotesRead →Inference and efficiencyUnverifiedFeb 13, 2026SLA2: Sparse-Linear Attention with Learnable Routing and QATSLA2 improves sparse-linear attention in diffusion models by introducing a learnable router, direct attention formulation, and quantization-aware fine-tuning for enhanced efficiency and quality.UC Berkeley1 citations59 upvotesRead →Inference and efficiencyUnverifiedFeb 3, 2026Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache QuantizationQuant VideoGen addresses KV cache memory limitations in autoregressive video diffusion models through semantic-aware smoothing and progressive residual quantization, achieving significant memory reduction with minimal latency impact.UC Berkeley29 citations35 upvotesRead →
Topic
Agents and evaluationUnverifiedJul 7, 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesGemini 2.X model family, including Gemini 2.5 Pro and Flash, offers superior coding, reasoning, and multimodal understanding capabilities across a range of computational efficiencies.Google4,594 citations67 upvotesRead →Agents and evaluationUnverifiedDec 2, 2025DeepSeek-V3.2: Pushing the Frontier of Open Large Language ModelsDeepSeek-V3.2 introduces DeepSeek Sparse Attention and a scalable reinforcement learning framework, achieving superior reasoning and performance compared to GPT-5 and Gemini-3.0-Pro in complex reasoning tasks.DeepSeek887 citations275 upvotesRead →Agents and evaluationMar 12, 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?WorkArena and BrowserGym evaluate large language model-based agents' ability to perform enterprise software tasks, revealing gaps in current agent capabilities and differences between open and closed-source LLMs.ServiceNow443 citations2 upvotesRead →Agents and evaluationFeb 12, 2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAya, a multilingual generative language model supporting over 50% lower-resourced languages, excels in both generative and discriminative tasks across 99 languages, and provides extensive evaluations and open-source resources.Cohere438 citations48 upvotesRead →Agents and evaluationJul 23, 2025Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsRubrics as Rewards (RaR) framework uses structured rubrics as interpretable reward signals for on-policy training, improving performance in real-world reinforcement learning tasks with subjective criteria.Scale AI431 citations6 upvotesRead →Agents and evaluationSep 21, 2025SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?SWE-Bench Pro is a challenging benchmark for coding models, featuring complex, enterprise-level problems that require substantial code modifications, with performance evaluations showing significant limitations in current models.Scale AI367 citations21 upvotesRead →
About this paper
Venue
arXiv.org
Citations
42, 4 influential · Semantic Scholar
Upvotes
393 · Hugging Face
Lab
UC Berkeley

Changes

CitationsNov 9, 2026Influential citations rose from 3 to 4.
CitationsNov 9, 2026Citations rose from 37 to 42.
CitationsNov 2, 2026Influential citations rose from 1 to 3.
CitationsNov 2, 2026Citations rose from 25 to 37.
CitationsOct 12, 2026Citations rose from 21 to 25.
CitationsOct 5, 2026Citations rose from 15 to 21.
New paperSep 24, 2026Added to the list.