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Language Modeling

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Showing 3426–3450 of 14182 papers

TitleStatusHype
GradPower: Powering Gradients for Faster Language Model Pre-Training—0
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model EvaluationCode0
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning—0
TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data SynthesisCode0
Transformers Are Universally Consistent—0
Intuitionistic Fuzzy Sets for Large Language Model Data Annotation: A Novel Approach to Side-by-Side Preference Labeling—0
Circuit Stability Characterizes Language Model GeneralizationCode0
HardTests: Synthesizing High-Quality Test Cases for LLM Coding—0
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and FinetuningCode0
Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation—0
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform—0
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreementCode0
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model—0
SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference—0
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model CompressionCode0
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners—0
An Empirical Study of Federated Prompt Learning for Vision Language Model—0
Discriminative Policy Optimization for Token-Level Reward ModelsCode0
Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model—0
VLM-RRT: Vision Language Model Guided RRT Search for Autonomous UAV Navigation—0
Dataset Cartography for Large Language Model Alignment: Mapping and Diagnosing Preference Data—0
Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation—0
Spoken Language Modeling with Duration-Penalized Self-Supervised UnitsCode0
Learning Parametric Distributions from Samples and PreferencesCode0
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training—0
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