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 1–10 of 1978 papers

TitleStatusHype
Vision Language Action Models in Robotic Manipulation: A Systematic ReviewCode2
State and Memory is All You Need for Robust and Reliable AI Agents—0
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
skLEP: A Slovak General Language Understanding BenchmarkCode0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
Semantic similarity estimation for domain specific data using BERT and other techniques—0
Towards Pervasive Distributed Agentic Generative AI -- A State of The Art—0
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection—0
Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation—0
Dialect Normalization using Large Language Models and Morphological RulesCode0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified