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

Showing 501525 of 1978 papers

TitleStatusHype
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models0
Extracting triples from dialogues for conversational social agents0
Research on Violent Text Detection System Based on BERT-fasttext Model0
Meta-Reflection: A Feedback-Free Reflection Learning Framework0
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque0
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data0
NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI0
Structural Entropy Guided Probabilistic CodingCode0
When Text Embedding Meets Large Language Model: A Comprehensive Survey0
Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck0
ChocoLlama: Lessons Learned From Teaching Llamas Dutch0
TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans0
PAFFA: Premeditated Actions For Fast Agents0
Rethinking Emotion Annotations in the Era of Large Language Models0
A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey0
Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor0
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIPCode0
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks0
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems0
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey0
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting0
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks0
Show:102550
← PrevPage 21 of 80Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified