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Methodology
← Learning Types
Machine Learning
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Learning Types
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Weakly Supervised Learning
3895 directly classified papers
Papers per year
2002: 5
2003: 3
2004: 3
2005: 1
2006: 7
2007: 8
2008: 7
2009: 13
2010: 20
2011: 7
2012: 11
2013: 43
2014: 35
2015: 66
2016: 74
2017: 133
2018: 194
2019: 388
2020: 388
2021: 566
2022: 469
2023: 588
2024: 435
2025: 350
2026: 81
Papers
Fine‐Tuned Transformers for Detection and Classification of Persuasion Techniques in Slavic Languages
ACL 2025
MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages
ACL 2025
Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification
ACL 2025
Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders
ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
ACL 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels
ACL 2025
Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities
ACL 2025
VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
ACL 2025
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues
ACL 2025
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring
ACL 2025
Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration
ACL 2025
Unsupervised Automatic Short Answer Grading and Essay Scoring: A Weakly Supervised Explainable Approach
ACL 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention
ACL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints
ACL 2025
Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic Data
ACL 2025
MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models
ACL 2025
GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
ACL 2025
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
ACL 2025
Automatic concept extraction for learning domain modeling: A weakly supervised approach using contextualized word embeddings
ACL 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization
ACL 2025
Comparing human and LLM proofreading in L2 writing: Impact on lexical and syntactic features
ACL 2025
PreClinIE: An Annotated Corpus for Information Extraction in Preclinical Studies
ACL 2025
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
EMNLP 2025
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