🧑‍🔬 Rajalakshmi Sivanaiah

🏛️ Affiliations

🎓Sri Sivasubramaniya Nadar College of EngineeringChennai · India2008–2026 · 42 papersEmployment 2008–2026 · Assistant Professor, Department of Computer Science and Engineeringcurrent🎓Shiv Nadar University, ChennaiChennai · India2026Employment since 2026 · Assistant Professor, Department of Computer Science and Engineering🎓Mepco Schlenk Engineering CollegeSivakasi · India2003–2008Employment 2003–2008 · Lecturer, IT

🏛️B.EKovilpatti · IndiaEducation · B.E CSE, CSE

🏛️M.ECoimbatore · IndiaEducation · M.E CSE, CSE

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. DataBees at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization (2026 · 1 citation)
   The DataBees team took part in SemEval-2026 Task 9 (POLAR), Subtask 1. The task is binary detection of polarized opinion in online texts, such as news, Reddit, blogs, Bluesky and forums, in Arabic, Bengali, German, Italian and Spanish. Each language has roughly 3.2–3.4k training examples.
2. Draken at SemEval-2026 Task 2: Frozen BERT Embeddings with Ridge Regression for Predicting Emotional Valence and Arousal (2026 · 1 citation)
   This paper describes Team Draken's entry for Subtask 1 of SemEval-2026 Task 2. The subtask asks systems to predict continuous emotional valence and arousal from series of English ecological essays written by individual users over time. The authors wanted to know whether a cheap, reproducible pipeline could handle…
3. RAGonauts at SemEval-2026 Task 8: BM25 Retrieval with Last-Turn Query Formulation for Multi-Turn RAG Conversations (2026 · 1 citation)
   The RAGonauts team took part in Task A of SemEval-2026 Task 8 (MTRAGEval). The task asks systems to find supporting passages for multi-turn RAG dialogues, where follow-up questions often drop entities or depend on earlier turns. The team wanted a cheap, transparent lexical baseline rather than a competitive neural…
4. SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code Detection (2026)
   This paper describes team UdayThalavesh's system for SemEval-2026 Task 13 Subtask A, a binary task that separates human-written code from AI-generated code.
5. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models (2022)
   The TechSSN team took part in iSarcasmEval (SemEval-2022 Task 6). The task asks whether a short social-media text is sarcastic in the sense its author intended, not how readers perceive it. The team entered three subtasks: Sub-Task A English, Sub-Task A Arabic and Sub-Task B. Sub-Task B is multi-label tagging of…

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Angel Deborah S ×5

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Workshop on Semantic Evaluation (SemEval) ×5: SemEval 2026 ×4, SemEval 2022

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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