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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
STARLING at TSAR 2025 Shared Task Leveraging Alternative Generations for Readability Level Adjustment in Text Simplification
EMNLP 2025
JGU Mainz’s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA
EMNLP 2025
Generating Spatial Knowledge Graphs from Automotive Diagrams for Question Answering
EMNLP 2025
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
CVPR 2025
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
CVPR 2025
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
CVPR 2025
What if Othello-Playing Language Models Could See?
EMNLP 2025
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows
EMNLP 2025
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
CVPR 2025
Can Large Language Models Personalize Dialogues to Generational Styles?
EMNLP 2025
Preacher: Paper-to-Video Agentic System
ICCV 2025
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
EMNLP 2025
Towards Evaluation of Language Models with Skill Dimensions: A Case Study on Narrative Question Answering
EMNLP 2025
Online Video Understanding: OVBench and VideoChat-Online
CVPR 2025
Scene Map-based Prompt Tuning for Navigation Instruction Generation
CVPR 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
EMNLP 2025
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
CVPR 2025
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages
EMNLP 2025
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
CVPR 2025
MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
CVPR 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
Adaptively profiling models with task elicitation
EMNLP 2025
Analyzing values about gendered language reform in LLMs’ revisions
EMNLP 2025
Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information
ICCV 2025
Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?
CVPR 2025
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