← Models
Deep Learning › Models ›

Large Language Models

2678 directly classified papers

Papers per year

Papers

Vlogger: Make Your Dream A Vlog CVPR 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024
Prompt Highlighter: Interactive Control for Multi-Modal LLMs CVPR 2024
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation CVPR 2024
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding CVPR 2024
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding CVPR 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024
A Vision Check-up for Language Models CVPR 2024
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation CVPR 2024
Link-Context Learning for Multimodal LLMs CVPR 2024
OneLLM: One Framework to Align All Modalities with Language CVPR 2024
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging EMNLP 2024
Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024
Knowledge Verification to Nip Hallucination in the Bud EMNLP 2024
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making EMNLP 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024
On Training Data Influence of GPT Models EMNLP 2024
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism EMNLP 2024
I Could’ve Asked That: Reformulating Unanswerable Questions EMNLP 2024
Visual Prompting in LLMs for Enhancing Emotion Recognition EMNLP 2024