Foundation Models
5,277 papers
Papers per year
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7
15
49
58
111
153
241
569
1,557
2,094
412
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Papers
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
ACL 2024
TroL: Traversal of Layers for Large Language and Vision Models
EMNLP 2024
Tune-An-Ellipse: CLIP Has Potential to Find What You Want
CVPR 2024
Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers
ACL 2024
Tutorial Proposal: Hallucination in Large Language Models
COLING 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
NeurIPS 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
ICLR 2024
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
NAACL 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
NeurIPS 2024
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
ACL 2024
UltraMedical: Building Specialized Generalists in Biomedicine
NeurIPS 2024
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
NAACL 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NeurIPS 2024
Uncertainty Aware Learning for Language Model Alignment
ACL 2024
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
AAAI 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
NeurIPS 2024
Uncovering Differences in Persuasive Language in Russian versus English Wikipedia
EMNLP 2024
Understanding and Minimising Outlier Features in Transformer Training
NeurIPS 2024
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
ICLR 2024
Understanding Information Storage and Transfer in Multi-Modal Large Language Models
NeurIPS 2024
Understanding prompt engineering may not require rethinking generalization
ICLR 2024
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
NeurIPS 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
NeurIPS 2024
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
NAACL 2024
UniAudio: Towards Universal Audio Generation with Large Language Models
ICML 2024