Call for Paper - Large Language Models Track

Important Dates

  • Paper Submission: May 1, 2026
  • Paper Notification: July 24, 2026
  • Paper Camera-Ready: August 21, 2026
The DSAA'2026 Special Track on Large Language Models (LLMs) solicits high-quality, original papers presenting novel issues and innovative insights into all facets of LLMs and their applications in data science, including but not limited to science and algorithms of LLMs, enlarged language models, retrieval-augmented text generation, vision-language pretraining, multimodal LLMs, finetuning, inference, and risk mitigation, alongside trustworthiness and societal implications of LLMs. Papers accepted to the Special Track on Large Language Models will be published in the DSAA'2026 conference proceedings (same as for the Research Track, and Application, Data and Benchmark Track).
Topics of interest include but are not limited to
  • Novel design and architecture of LLMs
  • Pre-training and fine-tuning strategies
  • Prompt engineering and optimization
  • Retrieval-augmented generation
  • Multimodal LLMs
  • Privacy, fairness, safety, bias, hallucination and risk in LLMs
  • Interpretability and explainability
  • Zero-shot, few-shot, instruction, and reinforcement learning for LLMs
  • Knowledge distillation for LLMs
  • Agentic AI and AI agents
  • LLM-based scientific discovery
  • Domain-specific LLM applications
Submissions for the DSAA'2026 Special Track on Large Language Models should very clearly specify the problem being solved, what methodologies were used to solve the problem, what data was used, how the results were evaluated, and how the solution is being used.

Paper Submission

All papers should be submitted electronically via Open Review (under the Special Track on Large Language Models).

The length of each paper submitted to the Research tracks should be no more than seven (7) pages of technical content plus additional pages solely for references and should be formatted following the standard 2-column U.S. letter style of the IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines.

All submissions will be blind reviewed by the Program Committee for the Special Track on Large Language Models on the basis of technical quality, relevance to the conference's topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.
Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA'2026. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA'2026 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper's title and abstract are different from the one appearing in arXiv.

Proceedings and Indexing

All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE.

Important Policies

  1. Reproducibility & Supplementary – The advancement of data science and analytics depends heavily on reproducibility. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file after the paper's references). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper, and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript.
  2. Authorship – The list of authors at the time of submission is final and cannot be changed.
  3. Dual Submissions – DSAA is an archival publication venue; submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues are not permitted.
  4. Conflicts of Interest (COI) – COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs are not allowed to submit any papers. Track chairs and special session chairs and other function chairs are not allowed to make submissions to their own tracks.
  5. Attendance – At least one author of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings.
  6. AI-generated Text – The use of artificial intelligence (AI)-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

Enquiries

General enquiries about Special Track on Large Language Models paper submissions should be submitted to Track Chairs.
Special Track on Large Language Models Chairs
  • Linsey Pang, PayPal AI , US
  • Naresh Manwani, IIIT Hyderabad, India
  • Chenlei Leng, Hong Kong Polytechnic University, China