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Showing 351–375 of 818 papers

TitleStatusHype
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models—0
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics—0
Can Language Models Act as Knowledge Bases at Scale?—0
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level RecognitionCode2
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition—0
FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language ModelsCode0
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims—0
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsCode1
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding—0
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
A Note On Lookahead In Real Life And Computing—0
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning AttacksCode0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
Efficient Tool Use with Chain-of-Abstraction Reasoning—0
Towards Generating Informative Textual Description for Neurons in Language Models—0
GazeGPT: Augmenting Human Capabilities using Gaze-contingent Contextual AI for Smart Eyewear—0
Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsCode1
Democratizing Fine-grained Visual Recognition with Large Language Models—0
Can AI Assistants Know What They Don't Know?Code2
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World KnowledgeCode1
Knowledge Verification to Nip Hallucination in the BudCode1
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