language model
A language model is a type of model designed to understand and generate human language. These models learn to predict the probability of sequences of words, enabling applications like text generation, translation, and speech recognition.
- ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
- Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
- Latent Principle Discovery for Language Model Self-Improvement
- Linguini: A benchmark for language-agnostic linguistic reasoning
- On the Entropy Calibration of Language Models
- Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
- Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
- Show-o2: Improved Native Unified Multimodal Models
- Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
- Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
- What Makes a Reward Model a Good Teacher? An Optimization Perspective
- What Really is a Member? Discrediting Membership Inference via Poisoning