SOTAVerified

Natural Language Understanding

Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.

Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 1978 papers

TitleStatusHype
PURPLE: Making a Large Language Model a Better SQL Writer—0
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding—0
Towards Knowledge-Grounded Natural Language Understanding and Generation—0
MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thoughts—0
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese—0
DVMNet++: Rethinking Relative Pose Estimation for Unseen ObjectsCode1
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models—0
Energy-Based Models with Applications to Speech and Language Processing—0
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement LearningCode0
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningCode0
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning—0
CleanAgent: Automating Data Standardization with LLM-based AgentsCode2
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel SelectionCode0
Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public EngagementCode0
Decomposed Meta-Learning for Few-Shot Sequence LabelingCode0
SciAssess: Benchmarking LLM Proficiency in Scientific Literature AnalysisCode2
NusaBERT: Teaching IndoBERT to be Multilingual and MulticulturalCode0
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User ModelingCode0
When does word order matter and when doesn't it?Code0
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic TransferCode0
The First Place Solution of WSDM Cup 2024: Leveraging Large Language Models for Conversational Multi-Doc QACode2
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-TuningCode1
Integrating Large Language Models with Graphical Session-Based Recommendation—0
Layer-wise Regularized Dropout for Neural Language Models—0
C^3: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding—0
Executing Natural Language-Described Algorithms with Large Language Models: An InvestigationCode0
Transferring BERT Capabilities from High-Resource to Low-Resource Languages Using Vocabulary Matching—0
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationCode0
NEO-BENCH: Evaluating Robustness of Large Language Models with NeologismsCode0
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks—0
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering—0
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model InferenceCode0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language ModelsCode1
Punctuation Restoration Improves Structure Understanding Without SupervisionCode0
Privacy-Preserving Language Model Inference with Instance Obfuscation—0
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward ModelingCode0
FaBERT: Pre-training BERT on Persian Blogs—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Linguistic features for sentence difficulty prediction in ABSA—0
"What's my model inside of?": Exploring the role of environments for grounded natural language understanding—0
Digits micro-model for accurate and secure transactions—0
The Impact of Language Adapters in Cross-Lingual Transfer for NLUCode0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified