conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

1

3

5

5

4

19

24

28

26

35

42

55

142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class ICML 2025 When Multilingual Models Compete with Monolingual Domain-Specific Models in Clinical Question Answering NAACL 2025 When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract) AAAI 2025 When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach AAAI 2025 When P4 Meets Run-to-completion Architecture NSDI 2025 When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025 When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs EMNLP 2025 When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025 When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods ACL 2025 WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts NAACL 2025 When to retrain a machine learning model ICML 2025 When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization IJCAI 2025 Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation IJCAI 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 Where Frameworks (Dis)agree: A Study of Discourse Segmentation EMNLP 2025 Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations IJCNLP 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted CVPR 2025 Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning ACL 2025 Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression ICLR 2025 Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers WACV 2025 White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs ACL 2025