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Natural Language Understanding
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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?
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research
Vision Language Action Models in Robotic Manipulation: A Systematic Review
A Survey on Vision-Language-Action Models for Autonomous Driving
State and Memory is All You Need for Robust and Reliable AI Agents
skLEP: A Slovak General Language Understanding Benchmark
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
Semantic similarity estimation for domain specific data using BERT and other techniques
Towards Pervasive Distributed Agentic Generative AI -- A State of The Art
An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation
Dialect Normalization using Large Language Models and Morphological Rules
EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
Demonstrations of Integrity Attacks in Multi-Agent Systems
ChemGraph: An Agentic Framework for Computational Chemistry Workflows
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
Benchmarking Large Language Models for Cryptanalysis and Mismatched-Generalization
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
StreamLink: Large-Language-Model Driven Distributed Data Engineering System
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach
Large Language Model-Empowered Interactive Load Forecasting
Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
Transfer of Structural Knowledge from Synthetic Languages
ModernGBERT: German-only 1B Encoder Model Trained from Scratch
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
Cross-Lingual Representation Alignment Through Contrastive Image-Caption Tuning
Krikri: Advancing Open Large Language Models for Greek
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
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