% Key papers for Controlled text generation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2019_glue_29139, title = {{GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/845}, } @inproceedings{aaai2020_do_102923, title = {{Do Not Have Enough Data? Deep Learning to the Rescue!}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6233}, } @inproceedings{aaai2018_empower_105946, title = {{Empower Sequence Labeling with Task-Aware Neural Language Model}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12006}, } @inproceedings{aaai2020_effective_103064, title = {{Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6374}, } @inproceedings{iclr2020_neural_29617, title = {{Neural Text Generation With Unlikelihood Training}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=SJeYe0NtvH}, } @inproceedings{aaai2018_event_100777, title = {{Event Representations for Automated Story Generation with Deep Neural Nets}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11430}, } @inproceedings{icml2020_learning_38396, title = {{Learning and Evaluating Contextual Embedding of Source Code}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6645}, } @inproceedings{iclr2020_plug_29402, title = {{Plug and Play Language Models: A Simple Approach to Controlled Text Generation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=H1edEyBKDS}, } @inproceedings{aaai2017_neural_105873, title = {{Neural Models for Sequence Chunking}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10995}, } @inproceedings{aaai2018_order_105887, title = {{Order-Planning Neural Text Generation From Structured Data}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11947}, } @inproceedings{neurips2018_a_56807, title = {{A Retrieve-and-Edit Framework for Predicting Structured Outputs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11953}, } @inproceedings{iclr2020_thieves_29378, title = {{Thieves on Sesame Street! Model Extraction of BERT-based APIs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=Byl5NREFDr}, } @inproceedings{neurips2019_defending_58115, title = {{Defending Against Neural Fake News}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13951}, } @inproceedings{aaai2021_learning_865, title = {{Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/13806-learning-contextual-representations-for-semantic-parsing-with-generation-augmented-pre-training/}, } @inproceedings{aaai2020_span_103187, title = {{Span Model for Open Information Extraction on Accurate Corpus}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6497}, } @inproceedings{iclr2019_learning_28776, title = {{Learning to Represent Edits}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/1070}, } @inproceedings{aaai2018_table_105884, title = {{Table-to-Text: Describing Table Region With Natural Language}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11944}, } @inproceedings{aaai2020_story_102922, title = {{Story Realization: Expanding Plot Events into Sentences}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6232}, } @inproceedings{aaai2017_joint_105857, title = {{Joint Copying and Restricted Generation for Paraphrase}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10979}, } @inproceedings{icml2023_structure_41406, title = {{Structure-informed Language Models Are Protein Designers}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/24120}, } @inproceedings{aaai2024_medalign_6619, title = {{MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30205}, } @inproceedings{iclr2024_bend_35495, title = {{BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17578}, } @inproceedings{icml2024_magicoder_44633, title = {{Magicoder: Empowering Code Generation with OSS-Instruct}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33819}, } @inproceedings{iclr2024_booookscore_33716, title = {{BooookScore: A systematic exploration of book-length summarization in the era of LLMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19359}, } @inproceedings{iclr2024_self_33504, title = {{Self-Alignment with Instruction Backtranslation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19571}, } @inproceedings{neurips2024_contextcite_70648, title = {{ContextCite: Attributing Model Generation to Context}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96474}, } @inproceedings{aaai2024_latesteval_6428, title = {{LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29822}, } @inproceedings{neurips2024_flowllm_70162, title = {{FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96921}, } @inproceedings{neurips2024_dart_74025, title = {{DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97497}, } @inproceedings{iclr2025_spider_82500, title = {{Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29294}, } @inproceedings{aaai2025_bridging_8309, title = {{Bridging Molecular Graphs and Large Language Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35422}, } @inproceedings{cvpr2025_storygpt_27759, title = {{StoryGPT-V: Large Language Models as Consistent Story Visualizers}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34999}, } @inproceedings{icml2024_qurating_43950, title = {{QuRating: Selecting High-Quality Data for Training Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34502}, } @inproceedings{aaai2024_reliable_7108, title = {{Reliable Data Generation and Selection for Low-Resource Relation Extraction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29915}, } @inproceedings{cvpr2024_diffagent_23175, title = {{DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29355}, } @inproceedings{neurips2024_invariant_70202, title = {{Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96883}, } @inproceedings{neurips2024_ambrosia_71508, title = {{AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97762}, } @inproceedings{aaai2024_learning_6495, title = {{Learning from Failure: Improving Meeting Summarization without Good Samples}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29883}, } @inproceedings{aaai2025_crispo_8558, title = {{CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34575}, } @inproceedings{aaai2025_vietnamese_11246, title = {{Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34581}, }