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 551–600 of 1978 papers

TitleStatusHype
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations—0
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-TuningCode0
SLM-Mod: Small Language Models Surpass LLMs at Content ModerationCode0
VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning TasksCode0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques—0
PromptExp: Multi-granularity Prompt Explanation of Large Language Models—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization—0
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning—0
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining—0
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation—0
StraGo: Harnessing Strategic Guidance for Prompt Optimization—0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
KRAG Framework for Enhancing LLMs in the Legal Domain—0
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching—0
Leveraging Grammar Induction for Language Understanding and GenerationCode0
Collapsed Language Models Promote FairnessCode0
LoRTA: Low Rank Tensor Adaptation of Large Language Models—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
Addition is All You Need for Energy-efficient Language Models—0
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture—0
Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications—0
Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language ModelsCode0
Improving the Efficiency of Visually Augmented Language ModelsCode0
Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance—0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search—0
Logically Consistent Language Models via Neuro-Symbolic Integration—0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?—0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering—0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education—0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection—0
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs—0
A Survey for Large Language Models in Biomedicine—0
Making the Most of your Model: Methods for Finetuning and Applying Pretrained Transformers—0
EMP: Enhance Memory in Data Pruning—0
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark—0
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language ModelsCode0
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study—0
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates—0
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding—0
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLUCode0
Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question AnsweringCode0
Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots Through Hierarchical Temporal Logic Task Representation—0
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2BERT-large 340MAccuracy78.3—Unverified
3UDSSM-II (ensemble)Accuracy78.3—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