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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

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Showing 1–50 of 1978 papers

TitleStatusHype
DataComp-LM: In search of the next generation of training sets for language modelsCode7
Mixture-of-Agents Enhances Large Language Model CapabilitiesCode7
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondCode6
TaskWeaver: A Code-First Agent FrameworkCode5
How to Design Translation Prompts for ChatGPT: An Empirical StudyCode5
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge AggregationCode5
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGCode5
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter ExpertsCode5
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice PerspectiveCode4
Decoder Tuning: Efficient Language Understanding as DecodingCode4
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationCode4
What Makes Good In-Context Examples for GPT-3?Code4
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible PipelineCode3
GLM: General Language Model Pretraining with Autoregressive Blank InfillingCode3
Ludwig: a type-based declarative deep learning toolboxCode3
Attention Is All You NeedCode3
GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsCode3
Large Language Model-Brained GUI Agents: A SurveyCode3
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language UnderstandingCode3
Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLCode3
Efficient Large Language Models: A SurveyCode3
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video SegmentationCode3
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Tree Search for Language Model AgentsCode3
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataCode2
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse LanguagesCode2
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsCode2
Autonomous GIS: the next-generation AI-powered GISCode2
MCP-Solver: Integrating Language Models with Constraint Programming SystemsCode2
3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene UnderstandingCode2
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
Learning Transferable Visual Models From Natural Language SupervisionCode2
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationCode2
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization AlignmentCode2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsCode2
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersCode2
An empirical study of LLaMA3 quantization: from LLMs to MLLMsCode2
JGLUE: Japanese General Language Understanding EvaluationCode2
Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU TasksCode2
GPT Understands, TooCode2
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingCode2
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuningCode2
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionCode2
I-BERT: Integer-only BERT QuantizationCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsCode2
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and OpportunitiesCode2
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
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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