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TitleStatusHype
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Developing A Framework to Support Human Evaluation of Bias in Generated Free Response Text—0
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes—0
DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response—0
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model—0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge—0
Dialogue-Based Simulation For Cultural Awareness Training—0
Dienstplanerstellung in Krankenhaeusern mittels genetischer Algorithmen—0
Differentiable Open-Ended Commonsense Reasoning—0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Different Questions, Different Models: Fine-Grained Evaluation of Uncertainty and Calibration in Clinical QA with LLMs—0
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach—0
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners—0
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation—0
Distributional semantics beyond words: Supervised learning of analogy and paraphrase—0
DiverseNet: When One Right Answer is not Enough—0
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain—0
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning—0
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla—0
Do Fine-tuned Commonsense Language Models Really Generalize?—0
Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales—0
Do LLMs Act as Repositories of Causal Knowledge?—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns—0
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples—0
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension—0
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests—0
DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study—0
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling—0
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints—0
Towards a Personal Health Large Language Model—0
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights—0
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents—0
Eliciting Categorical Data for Optimal Aggregation—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration—0
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering—0
Towards Collective Superintelligence: Amplifying Group IQ using Conversational Swarms—0
Towards combinatorial clustering: preliminary research survey—0
Enhancing LLM Evaluations: The Garbling Trick—0
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning—0
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations—0
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