error analysis
Error analysis involves examining the types and sources of errors made by a model to understand limitations, guide improvements, and enhance overall performance.
- A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
- AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios
- Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
- Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
- CHASM: Unveiling Covert Advertisements on Chinese Social Media
- Factorio Learning Environment
- Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
- MuSLR: Multimodal Symbolic Logical Reasoning
- PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
- Rethinking Evaluation of Infrared Small Target Detection