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 51–100 of 1978 papers

TitleStatusHype
TD-Suite: All Batteries Included Framework for Technical Debt ClassificationCode0
Kongzi: A Historical Large Language Model with Fact Enhancement—0
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMsCode0
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering—0
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationCode2
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance—0
PathGPT: Leveraging Large Language Models for Personalized Route Generation—0
AROMA: Autonomous Rank-one Matrix AdaptationCode0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL—0
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models—0
DeLoRA: Decoupling Angles and Strength in Low-rank AdaptationCode1
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer—0
Natural Language Generation—0
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence—0
A Review on Large Language Models for Visual Analytics—0
Valid Text-to-SQL Generation with Unification-based DeepStochLogCode0
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension BenchmarkCode0
Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism—0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems—0
Maximizing Signal in Human-Model Preference Alignment—0
An Information-theoretic Multi-task Representation Learning Framework for Natural Language UnderstandingCode0
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA—0
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop DrivingCode2
Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies—0
KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model—0
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions—0
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models—0
Towards Robust Legal Reasoning: Harnessing Logical LLMs in Law—0
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization AlignmentCode2
PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System—0
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language ModelsCode0
Bridging Text and Vision: A Multi-View Text-Vision Registration Approach for Cross-Modal Place RecognitionCode1
LoRA-GGPO: Mitigating Double Descent in LoRA Fine-Tuning via Gradient-Guided Perturbation OptimizationCode0
D.Va: Validate Your Demonstration First Before You Use It—0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding—0
Meaning Beyond Truth Conditions: Evaluating Discourse Level Understanding via Anaphora Accessibility—0
TALKPLAY: Multimodal Music Recommendation with Large Language Models—0
Understanding and Tackling Label Errors in Individual-Level Nature Language UnderstandingCode0
FedEAT: A Robustness Optimization Framework for Federated LLMs—0
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models—0
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive SurveyCode0
Logical forms complement probability in understanding language model (and human) performance—0
SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models—0
Making Language Models Robust Against Negation—0
Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and StructureCode0
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs—0
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample SizesCode1
Joint Localization and Activation Editing for Low-Resource Fine-TuningCode1
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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