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Showing 7351–7400 of 14182 papers

TitleStatusHype
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge—0
Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models—0
Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages?—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Does your data spark joy? Performance gains from domain upsampling at the end of training—0
Do Generative Large Language Models need billions of parameters?—0
Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics—0
Doing More with Less -- Implementing Routing Strategies in Large Language Model-Based Systems: An Extended Survey—0
Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software—0
Do Language Models Have Common Sense?—0
Do Language Models Know the Way to Rome?—0
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items—0
Do Language Models Understand Measurements?—0
Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found—0
Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation—0
Domain-adaptation of spherical embeddings—0
Domain-adapted large language models for classifying nuclear medicine reports—0
Domain-Adaptive Continued Pre-Training of Small Language Models—0
Domain-aware Neural Language Models for Speech Recognition—0
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification—0
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain—0
Domain Mastery Benchmark: An Ever-Updating Benchmark for Evaluating Holistic Domain Knowledge of Large Language Model--A Preliminary Release—0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems—0
Domain Regeneration: How well do LLMs match syntactic properties of text domains?—0
Domain-slot Relationship Modeling using a Pre-trained Language Encoder for Multi-Domain Dialogue State Tracking—0
Domain-Specific Japanese ELECTRA Model Using a Small Corpus—0
Domain-specific knowledge distillation yields smaller and better models for conversational commerce—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
Do Neural Nets Learn Statistical Laws behind Natural Language?—0
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling—0
Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change—0
"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation—0
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning—0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration—0
Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning—0
Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic—0
Do People Prefer "Natural" code?—0
Doppelgänger's Watch: A Split Objective Approach to Large Language Models—0
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment—0
DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing—0
Do sequence-to-sequence VAEs learn global features of sentences?—0
Do Sparse Autoencoders Generalize? A Case Study of Answerability—0
Do Transformer Networks Improve the Discovery of Rules from Text?—0
Do Transformers Parse while Predicting the Masked Word?—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference—0
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