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 101–150 of 1978 papers

TitleStatusHype
RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems—0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language ConversionCode0
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research—0
Multi-round, Chain-of-thought Post-editing for Unfaithful Summaries—0
Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems—0
Temporal Reasoning in AI systems—0
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGCode5
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning—0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
Enhancing Human-Like Responses in Large Language Models—0
Assessing Language Comprehension in Large Language Models Using Construction Grammar—0
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent DetectionCode0
Visual question answering: from early developments to recent advances -- a survey—0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of EventsCode0
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language UnderstandingCode0
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions—0
MCP-Solver: Integrating Language Models with Constraint Programming SystemsCode2
"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
LLM-assisted Vector Similarity Search—0
3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene UnderstandingCode2
Extracting triples from dialogues for conversational social agents—0
Large Language Model Safety: A Holistic SurveyCode2
Research on Violent Text Detection System Based on BERT-fasttext Model—0
A Survey of RWKVCode1
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque—0
Meta-Reflection: A Feedback-Free Reflection Learning Framework—0
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data—0
NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models—0
When Text Embedding Meets Large Language Model: A Comprehensive Survey—0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI—0
Structural Entropy Guided Probabilistic CodingCode0
Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck—0
PAFFA: Premeditated Actions For Fast Agents—0
Rethinking Emotion Annotations in the Era of Large Language Models—0
TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans—0
ChocoLlama: Lessons Learned From Teaching Llamas Dutch—0
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges—0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor—0
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIPCode0
DroidCall: A Dataset for LLM-powered Android Intent InvocationCode1
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems—0
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks—0
Large Language Model-Brained GUI Agents: A SurveyCode3
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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