% Key papers for Linguistic encoding in LLM representations (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2016_convolutional_104967, title = {{Convolutional Neural Networks over Tree Structures for Programming Language Processing}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10139}, } @inproceedings{aaai2018_senticnet_101475, title = {{SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11559}, } @inproceedings{aaai2018_jointly_105992, title = {{Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12034}, } @inproceedings{neurips2018_incorporating_57233, title = {{Incorporating Context into Language Encoding Models for fMRI}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11640}, } @inproceedings{neurips2019_interpreting_58427, title = {{Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14403}, } @inproceedings{neurips2018_neural_57426, title = {{Neural Code Comprehension: A Learnable Representation of Code Semantics}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11359}, } @inproceedings{iclr2024_language_35038, title = {{Language Models Represent Space and Time}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18036}, } @inproceedings{aaai2019_interpreting_101802, title = {{Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4517}, } @inproceedings{neurips2019_inducing_58410, title = {{Inducing brain-relevant bias in natural language processing models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14337}, } @inproceedings{neurips2020_interpretable_60101, title = {{Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18020}, } @inproceedings{neurips2023_scaling_66676, title = {{Scaling laws for language encoding models in fMRI}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72951}, } @inproceedings{iclr2018_neural_28701, title = {{Neural Language Modeling by Jointly Learning Syntax and Lexicon}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/124}, } @inproceedings{aaai2017_semantic_105875, title = {{Semantic Parsing with Neural Hybrid Trees}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10997}, } @inproceedings{aaai2018_multi_105959, title = {{Multi-Task Learning For Parsing The Alexa Meaning Representation Language}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12019}, } @inproceedings{icml2022_neural_40880, title = {{Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/18283}, } @inproceedings{aaai2020_ls_101889, title = {{LS-Tree: Model Interpretation When the Data Are Linguistic}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5749}, } @inproceedings{iclr2023_training_32423, title = {{Training language models to summarize narratives improves brain alignment}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11210}, } @inproceedings{aaai2020_learning_102943, title = {{Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6253}, } @inproceedings{aaai2020_just_102954, title = {{Just Add Functions: A Neural-Symbolic Language Model}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6264}, } @inproceedings{aaai2016_verb_105180, title = {{Verb Pattern: A Probabilistic Semantic Representation on Verbs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10334}, } @inproceedings{iclr2024_demystifying_35359, title = {{Demystifying Embedding Spaces using Large Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17714}, } @inproceedings{iclr2024_function_33840, title = {{Function Vectors in Large Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19235}, } @inproceedings{icml2024_selfie_45037, title = {{SelfIE: Self-Interpretation of Large Language Model Embeddings}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33415}, } @inproceedings{neurips2024_a_74465, title = {{A Polar coordinate system represents syntax in large language models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93109}, } @inproceedings{iclr2025_spikellm_82587, title = {{SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29210}, } @inproceedings{aaai2024_narrowing_6741, title = {{Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29263}, } @inproceedings{icml2025_automatically_46634, title = {{Automatically Interpreting Millions of Features in Large Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45936}, } @inproceedings{neurips2024_transformers_70800, title = {{Transformers need glasses! Information over-squashing in language tasks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96332}, } @inproceedings{iclr2025_from_80671, title = {{From Tokens to Words: On the Inner Lexicon of LLMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/31096}, } @inproceedings{iclr2025_improving_81716, title = {{Improving Semantic Understanding in Speech Language Models via Brain-tuning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30063}, } @inproceedings{iclr2025_the_82692, title = {{The Geometry of Categorical and Hierarchical Concepts in Large Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29106}, } @inproceedings{icml2024_patchscopes_43495, title = {{Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34957}, } @inproceedings{icml2024_characterizing_45039, title = {{Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33413}, } @inproceedings{neurips2024_confidence_70181, title = {{Confidence Regulation Neurons in Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96903}, } @inproceedings{neurips2024_divergences_71153, title = {{Divergences between Language Models and Human Brains}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96072}, } @inproceedings{neurips2025_geometry_76475, title = {{Geometry of Decision Making in Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=Jj4NdJtXwp}, } @inproceedings{neurips2025_token_78527, title = {{Token Embeddings Violate the Manifold Hypothesis}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=fiXCcxGysZ}, } @inproceedings{iclr2024_emo_33620, title = {{EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19455}, } @inproceedings{neurips2024_fractal_73030, title = {{Fractal Patterns May Illuminate the Success of Next-Token Prediction}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94393}, }