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TitleStatusHype
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System—0
NeurIPS 2023 LLM Efficiency Fine-tuning Competition—0
NeuroGen: Neural Network Parameter Generation via Large Language Models—0
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization—0
Neuron Patching: Semantic-based Neuron-level Language Model Repair for Code Generation—0
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation—0
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis—0
NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions—0
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs—0
NeutraSum: A Language Model can help a Balanced Media Diet by Neutralizing News Summaries—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions—0
New Baseline in Automatic Speech Recognition for Northern S\'ami—0
New Intent Discovery with Attracting and Dispersing Prototype—0
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application—0
NewsEdits 2.0: Learning the Intentions Behind Updating News—0
NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks—0
New Textual Corpora for Serbian Language Modeling—0
Next Word Suggestion using Graph Neural Network—0
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision—0
NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding—0
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics—0
N-gram Counts and Language Models from the Common Crawl—0
N-gram Language Modeling using Recurrent Neural Network Estimation—0
N-gram language models for massively parallel devices—0
N-grammer: Augmenting Transformers with latent n-grams—0
N-gram Model for Chinese Grammatical Error Diagnosis—0
N-gram Prediction and Word Difference Representations for Language Modeling—0
NICT Kyoto Submission for the WMT’20 Quality Estimation Task: Intermediate Training for Domain and Task Adaptation—0
NICT Kyoto Submission for the WMT’21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection—0
NIFTY Financial News Headlines Dataset—0
niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?—0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
NILC-SWORNEMO at the Surface Realization Shared Task: Exploring Syntax-Based Word Ordering using Neural Models—0
NJU’s submission to the WMT20 QE Shared Task—0
Abstract Operations Research Modeling Using Natural Language Inputs—0
NL-Eye: Abductive NLI for Images—0
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis—0
NLP for Knowledge Discovery and Information Extraction from Energetics Corpora—0
NLP-PINGAN-TECH @ CL-SciSumm 2020—0
NLP Service APIs and Models for Efficient Registration of New Clients—0
NLP Service APIs and Models for Efficient Registration of New Clients—0
nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection—0
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models?—0
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?—0
NN-grams: Unifying neural network and n-gram language models for Speech Recognition—0
Noise-Based Regularizers for Recurrent Neural Networks—0
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task—0
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency—0
Noise Injection Systemically Degrades Large Language Model Safety Guardrails—0
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