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 151–200 of 1978 papers

TitleStatusHype
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video SegmentationCode3
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey—0
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models—0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks—0
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering—0
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models—0
Neurosymbolic Graph Enrichment for Grounded World Models—0
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation—0
Hysteresis Activation Function for Efficient InferenceCode0
Med-Bot: An AI-Powered Assistant to Provide Accurate and Reliable Medical Information—0
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding—0
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models—0
HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals—0
Evaluating Large Language Models on Financial Report Summarization: An Empirical Study—0
Improved intent classification based on context information using a windows-based approach—0
GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching—0
Sentiment Analysis of Cyberbullying Data in Social MediaCode0
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank AdaptationCode0
MEG: Medical Knowledge-Augmented Large Language Models for Question AnsweringCode1
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution—0
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning—0
Ontology Population using LLMs—0
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior—0
Improving In-Context Learning with Small Language Model EnsemblesCode0
SVIP: Towards Verifiable Inference of Open-source Large Language Models—0
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeCode1
Improving Multimodal Large Language Models Using Continual Learning—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
Task Calibration: Calibrating Large Language Models on Inference Tasks—0
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks—0
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data—0
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
SLM-Mod: Small Language Models Surpass LLMs at Content ModerationCode0
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-TuningCode0
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
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
PromptExp: Multi-granularity Prompt Explanation of Large Language Models—0
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning—0
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization—0
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation—0
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining—0
MTL-LoRA: Low-Rank Adaptation for Multi-Task LearningCode1
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation ModelsCode1
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight CompressionCode1
StraGo: Harnessing Strategic Guidance for Prompt Optimization—0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
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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