Papers
Direct Multi-Turn Preference Optimization for Language Agents
Wentao Shi, Mengqi Yuan, Junkang Wu et al.
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
Rakesh R Menon, Shashank Srivastava
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
Youngwoo Kim, Razieh Rahimi, James Allan
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
Deniz Bayazit, Negar Foroutan, Zeming Chen et al.
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Yoonsang Lee, Minsoo Kim, Seung-won Hwang
DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking
Devrim Çavuşoğlu, Seçil Şen, Ulaş Sert
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts
Xiaobo Guo, Soroush Vosoughi
Dissecting Fine-Tuning Unlearning in Large Language Models
Yihuai Hong, Yuelin Zou, Lijie Hu et al.
Distance-aware Calibration for Pre-trained Language Models
Alberto Gasparin, Gianluca Detommaso
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
Yuanhao Yue, Chengyu Wang, Jun Huang et al.
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi et al.
Distract Large Language Models for Automatic Jailbreak Attack
Zeguan Xiao, Yan Yang, Guanhua Chen et al.
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang et al.
Distributional Properties of Subword Regularization
Marco Cognetta, Vilém Zouhar, Naoaki Okazaki
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
James D. Finch, Jinho D. Choi
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
Miaoyu Li, Haoxin Li, Zilin Du et al.
DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models
Rajat Rawat, Hudson McBride, Rajarshi Ghosh et al.
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Benjamin Schiller, Johannes Daxenberger, Andreas Waldis et al.
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
Nigel Fernandez, Alexander Scarlatos, Wanyong Feng et al.
Divide and Conquer: Legal Concept-guided Criminal Court View Generation
Qi Xu, Xiao Wei, Hang Yu et al.
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
Wendi Cui, Zhuohang Li, Damien Lopez et al.
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Zhuofeng Wu, Richard He Bai, Aonan Zhang et al.
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli et al.
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge, Abhishek Satpathy, Ronald Dean Williams et al.