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Language Modeling

Papers

Showing 95519600 of 14182 papers

TitleStatusHype
Code-switching in text and speech reveals information-theoretic audience design0
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning0
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English0
Code Switching Language Model Using Monolingual Training Data0
Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition0
Code-Switch Language Model with Inversion Constraints for Mixed Language Speech Recognition0
Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning0
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation0
CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation0
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework0
COFS: Controllable Furniture layout Synthesis0
CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics0
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain0
Coherency Improved Explainable Recommendation via Large Language Model0
Coherent Dialogue with Attention-based Language Models0
Cold Fusion: Training Seq2Seq Models Together with Language Models0
Collaborating with language models for embodied reasoning0
Collaborative Cross-modal Fusion with Large Language Model for Recommendation0
Collaborative Storytelling with Large-scale Neural Language Models0
Collecting Code-Switched Data from Social Media0
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking0
CoLLEGe: Concept Embedding Generation for Large Language Models0
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code0
CoLM-DSR: Leveraging Neural Codec Language Modeling for Multi-Modal Dysarthric Speech Reconstruction0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning0
Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling0
Combining Constraint Programming Reasoning with Large Language Model Predictions0
Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification0
Combining Extraction and Generation for Constructing Belief-Consequence Causal Links0
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge0
Combining Language and Graph Models for Semi-structured Information Extraction on the Web0
Post Training Quantization of Large Language Models with Microscaling Formats0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation0
Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition0
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity0
COMET: A Neural Framework for MT Evaluation0
Comics for Everyone: Generating Accessible Text Descriptions for Comic Strips0
Command A: An Enterprise-Ready Large Language Model0
Commonsense Evidence Generation and Injection in Reading Comprehension0
Commonsense Knowledge-Augmented Pretrained Language Models for Causal Reasoning Classification0
Commonsense Knowledge Transfer for Pre-trained Language Models0
Commonsense Knowledge Transfer for Pre-trained Language Models0
Communicating Activations Between Language Model Agents0
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods0
Communication-Efficient Agnostic Federated Averaging0
Communication-Efficient Federated Distillation0
Communication-Efficient Federated Learning via Optimal Client Sampling0
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission0
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo0
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