Call For Papers
We invite submissions to the 1st Conference on Language Modeling (COLM).
The planned dates are as follow:
Abstract submission: March 22, 2024 (Anywhere on Earth)
Submission date: March 29, 2024 (Anywhere on Earth)
Conference date: October 7-9, 2024
Call for Papers:
We consider a broad range of subject areas focused on language modeling for the first iteration of COLM. We consider the term "language model" in the broadest way. A non-exhaustive list of topics of interests includes:
All about alignment: fine-tuning, instruction-tuning, reinforcement learning (with human feedback), prompt tuning, and in-context alignment
All about data: pre-training data, alignment data, and synthetic data --- via manual or algorithmic analysis, curation, and generation
All about evaluation: benchmarks, simulation environments, scalable oversight, evaluation protocols and metrics, human and/or machine evaluation
All about societal implications: bias, equity, misuse, jobs, climate change, and beyond
All about safety: security, privacy, misinformation, adversarial attacks and defenses
Science of LMs: scaling laws, fundamental limitations, emergent capabilities, demystification, interpretability, complexity, training dynamics, grokking, learning theory for LMs
Compute efficient LMs: distillation, compression, quantization, sample efficient methods, memory efficient methods
Engineering for large LMs: distributed training and inference on different hardware setups, training dynamics, optimization instability
Learning algorithms for LMs: learning, unlearning, meta learning, model mixing methods, continual learning
Inference algorithms for LMs: decoding algorithms, reasoning algorithms, search algorithms, planning algorithms
Human mind, brain, philosophy, laws and LMs: cognitive science, neuroscience, linguistics, psycholinguistics, philosophical, or legal perspectives on LMs
LMs for everyone: multi-linguality, low-resource languages, vernacular languages, multiculturalism, value pluralism
LMs and the world: factuality, retrieval-augmented LMs, knowledge models, commonsense reasoning, theory of mind, social norms, pragmatics, and world models
LMs and embodiment: perception, action, robotics, and multimodality
LMs and interactions: conversation, interactive learning, and multi-agents learning
LMs with tools and code: integration with tools and APIs, LM-driven software engineering
LMs on diverse modalities and novel applications: visual LMs, code LMs, math LMs, and so forth, with extra encouragements for less studied modalities or applications such as chemistry, medicine, education, database and beyond
Submissions will be double blind: reviewers cannot see author names when conducting reviews, and authors cannot see reviewer names. This means that the submission must not contain acknowledgements or any link (e.g., github) that would reveal authors' identity.
We will use OpenReview to manage submissions. The reviews and author responses will not be public initially. Submissions under review will be visible only to their assigned program committee. We will not be soliciting comments from the general public during the reviewing process. Anyone who plans to submit a paper as an author or a co-author will need to create (or update) their OpenReview profile by the abstract submission deadline. The information entered in the profile is critical for ensuring that conflicts of interest are handled properly.
The program will include oral presentations and posters of accepted papers. Authors can revise their paper as many times as needed up to the paper submission deadline. Changes to the paper will not be allowed while the paper is being reviewed. During the discussion phase (between area chairs, reviewers and authors), edits will again be allowed; a pdfdiff will be done against the submission at the paper submission deadline. Area chairs and reviewers reserve the right to ignore changes that are significant from the original scope of the paper.
Accepted papers and their reviews will be made public after decisions are made. Discussions between reviewers and program committee members and with the authors of accepted papers will be made public. Rejected papers, their discussions and meta data will not be published.
Reviewers and ACs may flag submissions for ethics review. Flagged submissions will be sent to an ethics review committee for comments. Comments from ethics reviewers will be considered by the primary reviewers and AC as part of their deliberation. They will also be visible to authors, who will have an opportunity to respond. Ethics reviewers do not have the authority to reject papers, but in extreme cases papers may be rejected by the program chairs on ethical grounds, regardless of scientific quality or contribution.
Authors are asked to submit paper abstracts by the abstract submission deadline of March 8, 2024. Please note that no changes on the authors and their orders can be made after the abstract submission deadline. Also please make sure that all authors have an OpenReview profile with the latest information. Abstracts submitted by the abstract submission deadline must be genuine, placeholder or duplicate abstracts will be removed.
The full paper submission deadline is March 15, 2024. Abstracts and papers must be submitted using the OpenReview conference submission system.
There will be a strict upper limit of 9 pages for the main text of the submission, with unlimited additional pages for citations. This page limit applies to both the initial and final camera ready version.
Authors may use as many pages of appendices (after the bibliography) as they wish, but reviewers are not required to read the appendix.
Authors can add an optional ethics statement to the paper; it will not count toward the page limit, but should not be more than 1 page.
Authors can add an optional reproducibility statement as well, which will not count toward the page limit, but should not be more than 1 page.
The optional acknowledgment will not count toward the page limit, but should not be more than 1 page.
Style Files and Templates
To prepare your submission to COLM 2024, please use the LaTeX style files provided at:
Authors are strongly encouraged to participate in the public discussion of their paper, as well as of any other paper submitted to the conference. Submissions and reviews are both anonymous.
Code of Conduct
All COLM participants, including authors, are required to adhere to the COLM code of conduct (https://colmweb.org/CoC.html). More detailed guidance for authors, reviewers, and all other participants will be made available in due course, and participation will require acknowledging and adhering to the provided guidelines.