Blog(5)

• A Class-Balanced Soft-Voting System for Detecting Multi-Generator Machine-Generated Text

  SemEval-2024 Task 8 provides a challenge to detect human-written and machine-generated text. There are 3 subtasks for different detection scenarios. This paper proposes a system that mainly deals with Subtask B.

• Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text

  Large Language Models (LLMs), particularly the debut of ChatGPT, have made significant advancement and demonstrated the ability to produce coherent and natural-sounding text across a wide range of applications.

• Prompt Based and Cross-Modal Retrieval Enhanced Visual Word Sense Disambiguation

  The Visual Word Sense Disambiguation (VWSD) shared task aims at selecting the image among candidates that best interprets the semantics of a target word with a short-length phrase for English, Italian, and Farsi.

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Publications(11)

• Pretraining Based Image to Text Late Sequential Fusion System for Multimodal Misogynous Meme Identification

  Authoryujin wang, Jing Zhang, Xudong Zhang

  PublishedInternational Workshop on Semantic Evaluation(SemEval)

  Date2022-11-01

• LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation

  AuthorAdis Davletov, Nikolay Arefyev, Denis Gordeev, Alexey Rey

  PublishedInternational Workshop on Semantic Evaluation (SemEval)

  Date2021-08-06

• LIORI at SemEval-2021 Task 8: Ask Transformer for measurements

  AuthorAdis Davletov, Denis Gordeev, Nikolay Arefyev, Emil Davletov

  PublishedInternational Workshop on Semantic Evaluation (SemEval)

  Date2021-08-06

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News(8)

• [Blog] A Class-Balanced Soft-Voting System for Detecting Multi-Generator Machine-Generated Text

  SemEval-2024 Task 8 provides a challenge to detect human-written and machine-generated text. There are 3 subtasks for different detection scenarios.

• SRC-B Secures Top Rankings in SemEval-2024 Challenges

  Samsung R&D Institute China-Beijing (SRC-B) clinched first place in two different tracks of the 18th International Workshop on Semantic Evaluation 2024 (SemEval-2024) competition, succeeding in the subtasks for “Task 3: The Competition of Multimodal Emotion Cause Analysis in Conversations” and “Task 8: Multidomain, Multimodel, and Multilingual Machine-Generated Text Detection.” Furthermore, both teams’ system papers were accepted for presentation at the associated conference.

• [Blog] An AL-R Model for Multilingual Complex Named Entity Recognition

  This paper describes our system for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II).

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