AI 연구 논문 데일리

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore

Shape of Motion: 4D Reconstruction from a Single Video

Scaling Granite Code Models to 128K Context

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion

Understanding Reference Policies in Direct Preference Optimization

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization

Retrieval-Enhanced Machine Learning: Synthesis and Opportunities

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation

A Comparative Study on Automatic Coding of Medical Letters with Explainability

PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks