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Showing 351–375 of 818 papers

TitleStatusHype
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing—0
Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models' Reasoning with Formal Logic—0
Roadmap towards Superhuman Speech Understanding using Large Language Models—0
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems—0
Understanding the Role of LLMs in Multimodal Evaluation BenchmarksCode0
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities—0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
TVBench: Redesigning Video-Language Evaluation—0
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?Code0
SEAL: SEmantic-Augmented Imitation Learning via Language Model—0
Intent Detection in the Age of LLMs—0
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models—0
"Why" Has the Least Side Effect on Model Editing—0
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative CriterionCode0
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering—0
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment BenchmarkingCode0
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models—0
The X Types -- Mapping the Semantics of the Twitter Sphere—0
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration—0
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time—0
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles—0
How Does Code Pretraining Affect Language Model Task Performance?—0
Physical Rule-Guided Convolutional Neural Network—0
CV-Probes: Studying the interplay of lexical and world knowledge in visually grounded verb understanding—0
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