Saved in:
| Main Authors: | Ranjbar, Niloofar, Baghbani, Hamed |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.19935 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection
by: Stefan, Gabriel, et al.
Published: (2026)
by: Stefan, Gabriel, et al.
Published: (2026)
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis
by: de Vink, A. J. W., et al.
Published: (2026)
by: de Vink, A. J. W., et al.
Published: (2026)
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
by: Bafna, Jainit Sushil, et al.
Published: (2024)
by: Bafna, Jainit Sushil, et al.
Published: (2024)
Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa
by: Takenaka, Yoichi
Published: (2025)
by: Takenaka, Yoichi
Published: (2025)
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis
by: Das, Spandan, et al.
Published: (2024)
by: Das, Spandan, et al.
Published: (2024)
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
by: Abdullah, Abdulhady Abas, et al.
Published: (2024)
by: Abdullah, Abdulhady Abas, et al.
Published: (2024)
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
by: Hanif, Ikhlasul Akmal, et al.
Published: (2025)
by: Hanif, Ikhlasul Akmal, et al.
Published: (2025)
Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making
by: Guo, Xinli
Published: (2024)
by: Guo, Xinli
Published: (2024)
LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
by: Gude, Adrián, et al.
Published: (2025)
by: Gude, Adrián, et al.
Published: (2025)
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
by: Kure, Alireza Ghahramani, et al.
Published: (2025)
by: Kure, Alireza Ghahramani, et al.
Published: (2025)
Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction
by: Morozov, Lev, et al.
Published: (2025)
by: Morozov, Lev, et al.
Published: (2025)
SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
by: Datta, Ayan, et al.
Published: (2024)
by: Datta, Ayan, et al.
Published: (2024)
NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression
by: Wu, Tong, et al.
Published: (2026)
by: Wu, Tong, et al.
Published: (2026)
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
by: Xu, Haoming, et al.
Published: (2025)
by: Xu, Haoming, et al.
Published: (2025)
Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
by: Suominen, Osma, et al.
Published: (2025)
by: Suominen, Osma, et al.
Published: (2025)
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
by: Wang, Fanfan, et al.
Published: (2024)
by: Wang, Fanfan, et al.
Published: (2024)
RoBERTurk: Adjusting RoBERTa for Turkish
by: Tas, Nuri
Published: (2024)
by: Tas, Nuri
Published: (2024)
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
by: Tekanlou, Hadi Bayrami Asl, et al.
Published: (2025)
by: Tekanlou, Hadi Bayrami Asl, et al.
Published: (2025)
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
by: Jiang, Yifan, et al.
Published: (2024)
by: Jiang, Yifan, et al.
Published: (2024)
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
by: Xue, Jieying, et al.
Published: (2025)
by: Xue, Jieying, et al.
Published: (2025)
mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
by: Skurla, Adam, et al.
Published: (2026)
by: Skurla, Adam, et al.
Published: (2026)
Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
by: Bronec, Jan, et al.
Published: (2025)
by: Bronec, Jan, et al.
Published: (2025)
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
by: Chikoti, Shreenaga, et al.
Published: (2024)
by: Chikoti, Shreenaga, et al.
Published: (2024)
PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts
by: Huang, Ziyi, et al.
Published: (2025)
by: Huang, Ziyi, et al.
Published: (2025)
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
by: Patel, Shubham, et al.
Published: (2024)
by: Patel, Shubham, et al.
Published: (2024)
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
by: Kazakov, Roman, et al.
Published: (2024)
by: Kazakov, Roman, et al.
Published: (2024)
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts
by: Rad, Mohammad Heydari, et al.
Published: (2024)
by: Rad, Mohammad Heydari, et al.
Published: (2024)
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
by: Basak, Udvas, et al.
Published: (2024)
by: Basak, Udvas, et al.
Published: (2024)
CHILL at SemEval-2025 Task 2: You Can't Just Throw Entities and Hope -- Make Your LLM to Get Them Right
by: Lee, Jaebok, et al.
Published: (2025)
by: Lee, Jaebok, et al.
Published: (2025)
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
by: Sadeghi, Pouya, et al.
Published: (2024)
by: Sadeghi, Pouya, et al.
Published: (2024)
RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
by: Bondarenko, Ivan, et al.
Published: (2026)
by: Bondarenko, Ivan, et al.
Published: (2026)
Antibody Foundational Model : Ab-RoBERTa
by: Huh, Eunna, et al.
Published: (2025)
by: Huh, Eunna, et al.
Published: (2025)
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis
by: Rahman, Md. Mostafizer, et al.
Published: (2024)
by: Rahman, Md. Mostafizer, et al.
Published: (2024)
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts
by: Kadiyala, Ram Mohan Rao
Published: (2024)
by: Kadiyala, Ram Mohan Rao
Published: (2024)
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
Decoding Fake Narratives in Spreading Hateful Stories: A Dual-Head RoBERTa Model with Multi-Task Learning
by: Bhaskar, Yash, et al.
Published: (2025)
by: Bhaskar, Yash, et al.
Published: (2025)
EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter)
by: Ullah, Fida, et al.
Published: (2025)
by: Ullah, Fida, et al.
Published: (2025)
Similar Items
-
SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection
by: Stefan, Gabriel, et al.
Published: (2026) -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis
by: de Vink, A. J. W., et al.
Published: (2026) -
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
by: Bafna, Jainit Sushil, et al.
Published: (2024) -
Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa
by: Takenaka, Yoichi
Published: (2025) -
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis
by: Das, Spandan, et al.
Published: (2024)