Publications

Research Areas

LLM Inference / Reasoning LLM as Judge for Evaluation Reinforcement Learning for Alignment / Reasoning Multimodal Learning Social NLP

* Denotes Equal Contribution

Preprints

  1. Under Review
    Overlap, Unique and Conflict: Can LLMs Extract What They Can Recognize?
    Eftekhar Hossain, Santu Karmaker
  2. Under Review
    The Critical Role of Aspects in Evaluating Document Similarity
    Eftekhar Hossain, Tarnika Hazra, Ahatesham Bhuiyan, Santu Karmaker

2026

  1. NeurIPS Evaluation Track
    Evaluating Whether LLMs Can Reliably Connect the DOTs?
    Eftekhar Hossain, John Salvador, Santu Karmaker
    NeurIPS Evaluation Track, 2026
  2. AACL Findings
    Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design
    Omar Sharif, Eftekhar Hossain, Nikhil Singh, Patrick Ng
    AACL Findings, 2026

2025

  1. ACL
    FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs
    Bowen Yan, Zhengsong Zhang, Liqiang Jing, Eftekhar Hossain, Xinya Du
    In Proc. of ACL Findings, 2025
  2. ACL
    BenNumEval: A Benchmark to Assess LLMs’ Numerical Reasoning Capabilities in Bengali
    Kawsar Ahmed, Md Osama, Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
    In Proc. of ACL Findings, 2025
  3. NAACL
    LLMs as Meta-Reviewers’ Assistants: A Case Study
    Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal, Santu Karmaker et al.
    In Proc. of NAACL Main, 2025

2024

  1. ACL
    Deciphering Hate: Identifying Hateful Memes and Their Targets
    Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, and Sarah Masud Preum
    In Proc. of ACL Main, 2024
  2. EACL
    A Multimodal Framework to Detect Target Aware Aggression in Memes
    Shawly Ahsan*, Eftekhar Hossain*, Omar Sharif, Avishek Das, Mohammed Moshiul Hoque, M. Dewan
    In Proc. of EACL Main, 2024
  3. EACL
    Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection
    Eftekhar Hossain*, Omar Sharif*, Mohammed Moshiul Hoque, and Sarah Masud Preum
    In Proc. of EACL, Student Research Workshop (SRW), 2024

2022

  1. AACL
    MUTE: A Multimodal Dataset for Detecting Hateful Memes
    Eftekhar Hossain, Omar Sharif, and Mohammed Moshiul Hoque
    In Proc. of AACL, Student Research Workshop (SRW), 2022
  2. Journal
    Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features
    Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Md. Azad Hossain et al.
    Journal of KSU-Computer Science and Information (Q1, IF-6.9). Elsevier, 2022
  3. LREC
    MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes
    Eftekhar Hossain , Omar Sharif, and Mohammed Moshiul Hoque
    In Proc. of LREC, 2022
  4. ACL
    M-BAD: A Multilabel Dataset for Detecting Aggressive Texts and Their Targets
    Omar Sharif, Eftekhar Hossain , and Mohammed Moshiul Hoque
    CONSTRAINT Workshop. ACL, 2022
  5. Journal
    A Deep Attentive Multimodal Learning Approach for Disaster Identification from Social Media Posts
    Eftekhar Hossain , Mohammed Moshiul Hoque, Enamul Hoque, and Md. Saiful Islam
    IEEE Access (Q1, IF-3.367), 2022

2021

  1. EACL
    Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
    Eftekhar Hossain , Omar Sharif, and Mohammed Moshiul Hoque
    DravidianLangTech Workshop (Shared Task). EACL, 2021
  2. EACL
    Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
    Omar Sharif, Eftekhar Hossain , and Mohammed Moshiul Hoque
    DravidianLangTech Workshop (Shared Task). EACL, 2021
  3. EACL
    Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
    Eftekhar Hossain , Omar Sharif, and Mohammed Moshiul Hoque
    LT-EDI Workshop (Shared Task). EACL, 2021
  4. Springer
    Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes
    Eftekhar Hossain , Omar Sharif, and Mohammed Moshiul Hoque
    In Proc. of Advanced Computing and Intelligent Engineering. Springer, 2021