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TitleStatusHype
dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Models—0
Direct Acoustics-to-Word Models for English Conversational Speech Recognition—0
Direct Language Model Alignment from Online AI Feedback—0
DIRECTOR: Generator-Classifiers For Supervised Language Modeling—0
DirectorLLM for Human-Centric Video Generation—0
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
Disambiguating Symbolic Expressions in Informal Documents—0
Disaster Tweets Classification using BERT-Based Language Model—0
Discourse-Aware Soft Prompting for Text Generation—0
Discovering Financial Hypernyms by Prompting Masked Language Models—0
Discovering Significant Topics from Legal Decisions with Selective Inference—0
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection—0
Discovering Useful Sentence Representations from Large Pretrained Language Models—0
Discrete Audio Representation as an Alternative to Mel-Spectrograms for Speaker and Speech Recognition—0
Discrete Diffusion Language Model for Long Text Summarization—0
Discrete Modeling via Boundary Conditional Diffusion Processes—0
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck—0
Discriminating between Mandarin Chinese and Swiss-German varieties using adaptive language models—0
Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification—0
Discriminative protein sequence modelling with Latent Space Diffusion—0
Discriminative Segmental Cascades for Feature-Rich Phone Recognition—0
Discriminative training of RNNLMs with the average word error criterion—0
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