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Showing 101–150 of 818 papers

TitleStatusHype
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI DetectionCode1
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language ModelsCode1
Mixture of Low-rank Experts for Transferable AI-Generated Image DetectionCode1
BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language ModelsCode1
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal ModelCode1
Sequential Recommendation with Latent Relations based on Large Language ModelCode1
Beyond Embeddings: The Promise of Visual Table in Visual ReasoningCode1
Common Sense Enhanced Knowledge-based Recommendation with Large Language ModelCode1
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?Code1
Towards Efficient and Effective Unlearning of Large Language Models for RecommendationCode1
Learning or Self-aligning? Rethinking Instruction Fine-tuningCode1
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsCode1
Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsCode1
Knowledge Verification to Nip Hallucination in the BudCode1
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World KnowledgeCode1
PokeMQA: Programmable knowledge editing for Multi-hop Question AnsweringCode1
SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object DetectorCode1
Dense X Retrieval: What Retrieval Granularity Should We Use?Code1
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and LayersCode1
Lenna: Language Enhanced Reasoning Detection AssistantCode1
LLaRA: Large Language-Recommendation AssistantCode1
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language ModelsCode1
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
Towards Open-Ended Visual Recognition with Large Language ModelCode1
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood InformationCode1
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsCode1
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesCode1
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLUCode1
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and BeyondCode1
FELM: Benchmarking Factuality Evaluation of Large Language ModelsCode1
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model CollaborationCode1
Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionCode1
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question AnsweringCode1
Do PLMs Know and Understand Ontological Knowledge?Code1
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?Code1
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelCode1
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationCode1
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and VerificationCode1
Towards Open-World Recommendation with Knowledge Augmentation from Large Language ModelsCode1
KoLA: Carefully Benchmarking World Knowledge of Large Language ModelsCode1
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning ApproachCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement LearningCode1
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open WorldsCode1
Counterfactual reasoning: Testing language models' understanding of hypothetical scenariosCode1
Meta-Learning Online Adaptation of Language ModelsCode1
The Web Can Be Your Oyster for Improving Large Language ModelsCode1
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