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TitleStatusHype
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization—0
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph—0
Exploring syntactic information in sentence embeddings through multilingual subject-verb agreement—0
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications—0
Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
Exposing the Limits of Video-Text Models through Contrast Sets—0
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
Towards Multistage Design of Modular Systems—0
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning—0
FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models—0
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction—0
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
Field-testing items using artificial intelligence: Natural language processing with transformers—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Fine-tuning BERT with Focus Words for Explanation Regeneration—0
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models—0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques—0
First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge—0
First Token Probability Guided RAG for Telecom Question Answering—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above—0
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