AI研究论文每日精选

StdGEN: Semantic-Decomposed 3D Character Generation from Single Images

LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Balancing Pipeline Parallelism with Vocabulary Parallelism

DELIFT: Data Efficient Language model Instruction Fine Tuning

CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM

Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study

The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models

Improving the detection of technical debt in Java source code with an enriched dataset