% Key papers for Pruning and circuits in LLMs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2020_mixout_29501, title = {{Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=HkgaETNtDB}, } @inproceedings{cvpr2024_llms_23896, title = {{LLMs are Good Sign Language Translators}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30247}, } @inproceedings{aaai2021_xl_1646, title = {{XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/13648-xl-wsd-an-extra-large-and-cross-lingual-evaluation-framework-for-word-sense-disambiguation/}, } @inproceedings{neurips2022_memorization_66249, title = {{Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54693}, } @inproceedings{aaai2024_fluctuation_6031, title = {{Fluctuation-Based Adaptive Structured Pruning for Large Language Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28960}, } @inproceedings{neurips2022_exploring_66505, title = {{Exploring Length Generalization in Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/52978}, } @inproceedings{aaai2024_fairness_5966, title = {{Fairness-Aware Structured Pruning in Transformers}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30256}, } @inproceedings{aaai2017_on_101424, title = {{On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10675}, } @inproceedings{aaai2024_sparsity_7381, title = {{Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30160}, } @inproceedings{aaai2022_vast_2931, title = {{VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/11477-vast-the-valence-assessing-semantics-test-for-contextualizing-language-models/}, } @inproceedings{neurips2024_infllm_72931, title = {{InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94480}, } @inproceedings{neurips2024_exploring_74650, title = {{Exploring Context Window of Large Language Models via Decomposed Positional Vectors}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/92943}, } @inproceedings{aaai2025_prompt_10375, title = {{Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34639}, } @inproceedings{iclr2025_nv_83308, title = {{NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/28505}, } @inproceedings{iclr2024_the_35275, title = {{The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17798}, } @inproceedings{iclr2024_in_35500, title = {{In-context Autoencoder for Context Compression in a Large Language Model}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17573}, } @inproceedings{neurips2024_beacon_74000, title = {{BEACON: Benchmark for Comprehensive RNA Tasks and Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97501}, } @inproceedings{aaai2024_what_7811, title = {{What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29765}, } @inproceedings{iclr2023_unimax_33080, title = {{UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/10763}, } @inproceedings{aaai2024_mid_6580, title = {{MID-FiLD: MIDI Dataset for Fine-Level Dynamics}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27774}, } @inproceedings{icml2024_pruner_43324, title = {{Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/35128}, } @inproceedings{icml2026_mmbert_53744, title = {{mmBERT: A Modern Multilingual Encoder with Annealed Language Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=iJDJCO4mji}, } @inproceedings{neurips2024_scaling_74146, title = {{Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93395}, } @inproceedings{iclr2024_what_34448, title = {{What's In My Big Data?}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18626}, } @inproceedings{iclr2024_attention_34936, title = {{Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18138}, } @inproceedings{aaai2024_machine_6593, title = {{Machine-Created Universal Language for Cross-Lingual Transfer}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29824}, } @inproceedings{aaai2025_3d_7867, title = {{3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34662}, }