…off-the-shelf models struggle with multi-turn visual history , and performance drops sharply when viewpoint reproduction requires body translation rather than in-place rotation, exposing a gap in mapping spatial discrepancies…
…By learning a performance-aware latent space over model--dataset--metric tuples , ModelLens ranks unseen models on unseen datasets without running candidates on the target dataset. On a new benchmark of 1…
…Generative Circuit Design for Quantum-Selected Configuration Interaction (2026) Benchmarking quantum trial wavefunctions for phaseless auxiliary-field quantum Monte Carlo (2026) High Performance Quantum Emulation for Chemistry Applications with Hyperion (2026) Auger…
…Amir Saeidi , , , , , , Abstract Failure-Aware Meta-Agentic framework improves open-source LLM performance in conversational scenarios by identifying common errors and deploying specialized agents to correct them. AI-generated summary Large Language…
…AI-generated summary Recent advances in large language models have led to strong performance on reasoning and environment-interaction tasks, yet their ability for creative problem-solving remains underexplored. We study this…
…To bridge this gap, we first introduce the Tabular Embedding Benchmark (TabBench), a comprehensive suite designed to evaluate the tabular understanding capability of embedding models. We then propose TabEmbed, the first generalist…
…A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding (2026) MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline (2026) More Human, More Efficient: Aligning Annotations…
…An Agentic Benchmark for Financial Intelligence (2026) Agentick: A Unified Benchmark for General Sequential Decision-Making Agents (2026) Please give a thumbs up to this comment if you found it helpful! If…
…Over 97% reduction in annotation cost (clicks). 🎯 High Performance: Retains >90% to 99% of per-instance performance across 7 diverse benchmarks. 🏅 Training-Free: Surpasses fully-supervised methods requiring complete mask annotations…
…supervision strongly improves PhoneWorld performance, and under a fixed PhoneWorld budget, expanding app coverage yields even larger gains. Overall, PhoneWorld shifts the focus from building one mobile benchmark at a time to…
