Foundation Models

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding NeurIPS 2024 LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English EMNLP 2024 LFED: A Literary Fiction Evaluation Dataset for Large Language Models COLING 2024 LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models COLING 2024 LiBERTa: Advancing Ukrainian Language Modeling through Pre-training from Scratch COLING 2024 Libra: Building Decoupled Vision System on Large Language Models ICML 2024 Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild CoRL 2024 Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models ACL 2024 Lightweight reranking for language model generations ACL 2024 Limits of Transformer Language Models on Learning to Compose Algorithms NeurIPS 2024 Linear Transformers with Learnable Kernel Functions are Better In-Context Models ACL 2024 LinguaLinked: Distributed Large Language Model Inference on Mobile Devices ACL 2024 LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning EMNLP 2024 LION: Implicit Vision Prompt Tuning AAAI 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Listen, Think, and Understand ICLR 2024 Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models COLING 2024 LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024 LLaMA-Rider: Spurring Large Language Models to Explore the Open World NAACL 2024 Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness COLING 2024 LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning CoRL 2024 Llemma: An Open Language Model for Mathematics ICLR 2024 LLM4Decompile: Decompiling Binary Code with Large Language Models EMNLP 2024 LLM Augmented LLMs: Expanding Capabilities through Composition ICLR 2024