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TitleStatusHype
A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3—0
Abrupt Learning in Transformers: A Case Study on Matrix Completion—0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks—0
Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges—0
Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences—0
A-CAP: Anticipation Captioning with Commonsense Knowledge—0
A Career Interview Dialogue System using Large Language Model-based Dynamic Slot Generation—0
A Careful Examination of Large Language Model Performance on Grade School Arithmetic—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
A Case-Based Persistent Memory for a Large Language Model—0
A Case Study in Bootstrapping Ontology Graphs from Textbooks—0
A Case Study in Engineering a Conversational Programming Assistant's Persona—0
Accelerated Preference Optimization for Large Language Model Alignment—0
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking—0
Accelerated Test-Time Scaling with Model-Free Speculative Sampling—0
Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Accelerating Gossip SGD with Periodic Global Averaging—0
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization—0
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review—0
Accelerating Large Language Model Reasoning via Speculative Search—0
Accelerating Large Language Model Training with Hybrid GPU-based Compression—0
Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator—0
Accelerating MoE Model Inference with Expert Sharding—0
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