Deep Learning
1,404 papers
Papers per year
3
4
3
5
11
4
5
4
26
50
68
106
163
131
138
164
279
234
6
'15
'20
'25
Papers
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)
IJCAI 2025
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
COLING 2025
Can We Translate Code Better with LLMs and Call Graph Analysis?
IJCAI 2025
CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
EMNLP 2025
CIC-NLP@DravidianLangTech 2025: Fake News Detection in Dravidian Languages
NAACL 2025
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
IJCAI 2025
Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract)
AAAI 2025
Combating Semantic Contamination in Learning with Label Noise
AAAI 2025
Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering
EMNLP 2025
Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM
ACL 2025
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
AAAI 2025
CoreFour_IIITK@DravidianLangTech 2025: Abusive Content Detection Against Women Using Machine Learning And Deep Learning Models
NAACL 2025
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
ACL 2025
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection
WACV 2025
CUET_Big_O@NLU of Devanagari Script Languages 2025: Identifying Script Language and Detecting Hate Speech Using Deep Learning and Transformer Model
COLING 2025
CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Driven Approach to Political Sentiment Analysis of Tamil X (Twitter) Comments
NAACL 2025
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
AAAI 2025
DART: Distilling Autoregressive Reasoning to Silent Thought
EMNLP 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
Data Drives Unstable Hierarchical Generalization in LMs
EMNLP 2025
DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features
COLING 2025
DCR: Quantifying Data Contamination in LLMs Evaluation
EMNLP 2025
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
IJCAI 2025
DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
ICCV 2025
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
EMNLP 2025