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Deep Learning

1397 directly classified papers

Papers per year

Papers

CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs EMNLP 2025
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset EMNLP 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025
T2R-BENCH: A Benchmark for Real World Table-to-Report Task EMNLP 2025
DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025
Assay2Mol: Large Language Model-based Drug Design Using BioAssay Context EMNLP 2025
Exploring Large Language Models for Detecting Mental Disorders EMNLP 2025
Efficient Real-time Refinement of Language Model Text Generation EMNLP 2025
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media EMNLP 2025
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NIPS 2024
Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers EACL 2024
Majority Rules Guided Aspect-Category Based Sentiment Analysis via Label Prior Knowledge COLING 2024
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models EACL 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience NIPS 2024
Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering COLING 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SEMEVAL 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications EACL 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training NIPS 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NIPS 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024