Affiliated Research

This page showcases an evolving list of affiliated research projects that have utilized the UChicago DSI Cluster, highlighting current work that benefits from the cluster’s computing resources.

Publications

2026

• Heuristic-Based Ideation for Guiding LLMs Toward Structured Creativity
  Xiao Liu, Haokun Liu, Chenhao Tan

• Personalized Benchmarking: Evaluating LLMs by Individual Preferences
  Cristina Garbacea, Heran Wang, Chenhao Tan

• AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge
  Karen Zhou, Chenhao Tan

• Collaborative Disagreement Resolution for Scalable Oversight.
  Yuyang Jiang, Chacha Chen, Teng Wu, Liwen Sun, Han Liu, Shi Feng, Chenhao Tan

• Moral Mazes in the Era of LLMs
  Dang Nguyen, Harvey Yiyun Fu, Peter West, Ari Holtzman, Chenhao Tan

• Iterative Finetuning is Mostly Idempotent
  Zephaniah Roe, Jack Sanderson, Dang Nguyen, Julian Huang, Todd Nief, Aryan Shrivastava, Chenhao Tan, Ari Holtzman

• Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers
  Todd Nief, David Reber, Sean Richardson, Ari Holtzman

• Hardware acceleration for HPS algorithms in two and three dimensions
  Owen Melia, Daniel Fortunato, Jeremy Hoskins, Rebecca Willett

• Stability via resampling: statistical problems beyond the real line
  Jake A. Soloff, Rina Foygel Barber, Rebecca Willett

• Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
  Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett

• Hierarchical Implicit Neural Emulators
  Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett

• Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction
  Anna Asch, Raphael Rossellini, Pedram Hassanzadeh, Rebecca Willett

• Diffusion models recover accurate mixture weights despite score function insensitivity
  Andrew Dennehy, Ramchandran Muthukumar, Rebecca Willett, Nisha Chandramoorthy

• Optimizing Diversity and Quality through Base‑Aligned Model Collaboration
  Yichen Wang, Chenghao Yang, Tenghao Huang, Muhao Chen, Jonathan May, Mina Lee

• Evaluating LLM Creativity as Long‑Tail Performance
  Yichen Wang, Mina Lee

• Empirical Bayes Rebiasing
  Wanyi Ling, Sida Li, Junming Guan, Nikolaos Ignatiadis

• Empirical Bayes learning from selectively reported confidence intervals
  Hunter Chen, Junming Guan, Erik van Zwet, Nikolaos Ignatiadis

• Towards a Self-Driving Trigger at the LHC: Adaptive Response in Real Time
  Shaghayegh Emami, Cecilia Tosciri, Giovanna Salvi, Zixin Ding, Yuxin Chen, Abhijith Gandrakota, Christian Herwig, David W. Miller, Jennifer Ngadiuba, Nhan Tran

• Accelerating PDE Surrogates via RL-Guided Mesh Optimization
  Yang Meng, Ruoxi Jiang, Zhuokai Zhao, Chong Liu, Rebecca Willett, Yuxin Chen

• Scaling Textual Gradients via Sampling-Based Momentum
  Zixin Ding, Junyuan Hong, Zhan Shi, Tianhao Wang, Zinan Lin, Li Yin, Meng Liu, Zhangyang Wang, Yuxin Chen

• Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation
  Zixin Ding, Qi Zeng, Boying Gong, Wenlong Deng, Bo Pan, Yuxin Chen

• Learning to Trigger: Reinforcement Learning at Large Hadron Collider
  Zixin Ding, Shaghayegh Emami, Giovanna Salvi, Cecilia Tosciri, Abhijith Gandrakota, Ngadiuba Jennifer, Nhan Tran, Christian Herwig, David Miller, Yuxin Chen

• Active Curriculum Refinement for Reinforcement Learning
  Zhenya Liu, Yuxin Chen

• Text-Twin-Translation: A Full-Stack Machine Learning Framework for Functional Material-Device Systems Discovery
  Rui Ding, Zixin Ding, Rodrigo P. Ferreira, Yuxin Chen, Junhong Chen

• Geometry, Not Energy Surface, Drives the Neutral MLIP–DFT Gap in Atomistic Interaction Surrogates
  Rui Ding, Zixin Ding, Rodrigo P Ferreira, Yuxin Chen, Junhong Chen

• Deep Feature Deformation Weights
  Richard Liu, Itai Lang, Rana Hanocka

• A common connectome-based neural reference space across affective, autonomic, and wakefulness arousal
  Kannon Bhattacharyya, Judah Huberman-Shlaes, Yulin Tong, Yuxuan Zhu, Jin Ke, Jadyn S. Park, Anna Corriveau, Monica D. Rosenberg, Yuan Chang Leong

• Natural language reveals that political partisans are more affectively aligned over political issues than partisan identities
  Nakwon Rim, Joshua Conrad Jackson, Marc G Berman, Yuan Chang Leong

• Differentiation drives the erosion of positivity on social media
  Hongkai Mao, Yuan Chang Leong, Yutong Jiang, Alex Koch, William J. Brady, Joshua Conrad Jackson

• Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
  Ziwei Su, Junyu Ren, Victor Veitch

• Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
  Junkai Zhang, Zihao Wang, Lin Gui, Swarnashree Mysore Sathyendra, Jaehwan Jeong, Victor Veitch, Wei Wang, Yunzhong He, Bing Liu, Lifeng Jin

• Expected Reward Prediction, with Applications to Model Routing
  Kenan Hasanaliyev, Silas Alberti, Jenny Hamer, Dheeraj Rajagopal, Kevin Robinson, Jasper Snoek, Victor Veitch, Alexander Nicholas D’Amour

• The Information Geometry of Softmax: Probing and Steering
  Kiho Park, Todd Nief, Yo Joong Choe, Victor Veitch

• Differentially Private Model Merging
  Qichuan Yin, Manzil Zaheer, Tian Li

• Federation over Text: Insight Sharing for Multi-Agent Reasoning
  Dixi Yao, Tahseen Rabbani, Manzil Zaheer, Tian Li

• Asynchronous Heavy-Tailed Optimization
  Junfei Sun, Dixi Yao, Xuchen Gong, Tahseen Rabbani, Manzil Zaheer, Tian Li

• Federated Agent Reinforcement Learning
  Canyu Chen, Kangyu Zhu, Zhaorun Chen, Zhanhui Zhou, Shizhe Diao, Yiping Lu, Tian Li, Manling Li, Dawn Song

• R-KVHash: Reasoning Model KV Cache Compression Via SimHash-based Estimation of Redundant Tokens
  Aadi Palnitkar, Tahseen Rabbani, Dixi Yao, Ce Zhang, Tian Li

• How AI Companies Can Pay Fair Rates for the Content They Need
  E. Glen Weyl, Raul Castro Fernandez

• Enabling Personal Dataflow Sovereignty via Bolt-on Data Escrow
  Zhiru Zhu, Raul Castro Fernandez

• Demonstration of Pneuma-Seeker: Agentic System for Reifying and Fulfilling Information Needs on Tabular Data
  Muhammad Imam Luthfi Balaka, Raul Castro Fernandez

• Programmable Dataflows: Abstraction and Programming Model for Data Sharing
  Siyuan Xia, Chris Zhu, Tapan Srivastava, Bridget Fahey & Raul Castro Fernandez

• The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent
  Muhammad Imam Luthfi Balaka, Raul Castro Fernandez

• The Structural Law of Data
  Bridget A. Fahey, Raul Castro Fernandez

• MeshFM: 2D Features Are All You Need for 3D Shape Understanding
  Jinfan Zhou, Richard Liu, Itai Lang, Rana Hanocka

• Look Both Ways Before You Cross: Lifting Cross Fields From 2D Visual Priors
  Dale Decatur, Jacob Serfaty, Oded Stein, Amir Vaxman, Rana Hanocka

• Best Segmentation Buddies for Image-Shape Correspondence
  Itai Lang, Dongwei Lyu, Dale Decatur, Rana Hanocka

• From LiDAR to action: detecting upland gullies to combat erosion and forest fires
  Jim Pivarski

• Bayesian Poisson-Randomized Gamma Tensor Factorization with Application to International Trade Flows
  Jie Jian, Aaron Schein

• Three-dimensional genome reorganization foreshadows zygotic genome activation in Drosophila
  Noura Maziak, Yuchen Zhang, Fabian Groll, Haley E. Brown, Alla Madich, Yadwinder Kaur, Melissa M. Harrison, Jian Zhou & Juan M. Vaquerizas

• Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
  Bingji Yi, Qiyuan Liu, Yuwei Cheng, Haifeng Xu

• Approximating the Permanent of a Random Matrix with Polynomially Small Mean: Zeros and Universality
  Frederic Koehler, Pui Kuen Leung

• Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
  John Hood, Aaron Schein

• Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
  Ankur Garg, Michael Stettler, Aaron Schein, Julius von Kügelgen

• The Triply-Randomized Negative Binomial Beta for Robust Regression and Conjugate Models of Bounded Support Data
  Jimmy Lederman, Aaron Schein

2025

• ReLU Neural Networks with Linear Layers Are Biased towards Single- and Multi-index Models
  Suzanna Parkinson, Greg Ongie, Rebecca Willett

• How do simple rotations affect the implicit bias of Adam?
  Adela DePavia, Vasileios Charisopoulos, Rebecca Willett

• jaxhps: An elliptic PDE solver built with machine learning in mind
  Owen Melia, Daniel Fortunato, Jeremy Hoskins, Rebecca Willett

• A Model-Guided Neural Network Method for the Inverse Scattering Problem
  Olivia Tsang, Owen Melia, Vasileios Charisopoulos, Jeremy Hoskins, Yuehaw Khoo, Rebecca Willett

• Empirical partially Bayes two sample testing
  Wanyi Ling, Wufang Hong, Nikolaos Ignatiadis

• Stein’s unbiased risk estimate and Hyvärinen’s score matching
  Sulagna Ghosh, Nikolaos Ignatiadis, Frederic Koehler, Amber Lee

• Efficient Adaptive Federated Optimization
  Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian Li

• Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
  Minghui Liu, Aadi Palnitkar, Tahseen Rabbani, Hyunwoo Jae, Kyle Rui Sang, Dixi Yao, Shayan Shabihi, Fuheng Zhao, Tian Li, Ce Zhang, Furong Huang, Kunpeng Zhang

• Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
  Van Tran, Shinan Liu, Tian Li, Nick Feamster

• Optimal Pricing for Data-Augmented AutoML Marketplaces
  Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu

• Modeling the structure-conditioned sequence landscape for large-scale protein design with TriFlow
  Harish Srinivasan, Rongqing Yuan, Qian Cong, Jian Zhou

• LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
  Qingchuan Yang, Simon Mahns, Sida Li, Anri Gu, Jibang Wu, Haifeng Xu

• On the effectiveness and generalization of race representations for debiasing high-stakes decisions
  Nguyen, D., & Tan, C.

• Entailment Progressions: A Robust Approach to Evaluating Reasoning Within Larger Discourse
  Shastry, R., Chiril, P., Charney, J., & Uminsky, D.

• Can AI Weather Models Predict the 2024 Dubai Rainfall, a Regional Grey Swan?
  Sun, Y. Q., Hassanzadeh, P., & Shaw, T. A.

• A Century of Inflation Narratives
  Heddaya, M., Tan, C., Voigt, R., Zeng, Q., & Zentefis, A.

• Deep Learning and Non-Invertible Symmetries in Gauge Theories
  Apte, A.

• Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs
  Wang, G., Chen, Z., Li, B., & Xu, H.

• The content, structure, and history of English trait words
  Liu, Y., Charlesworth, T., Koch, A., Luttrell, A., & Jackson, J. C.

• Efficient Distributed Optimization under Heavy-Tailed Noise
  Lee, S. H., Zaheer, M., & Li, T.

• Humans and convolutional neural networks prioritize similar visual features in intuitive physics judgments
  Calabro, R., Bhattacharyya, K., Bainbridge, W., & Leong, Y. C.

• Predicting whole-brain neural dynamics from prefrontal cortex functional near-infrared spectroscopy signal during movie-watching
  Gao, S., Nash, R., Burns, S., & Leong, Y. C.

• A Multimodal Seq2Seq Transformer for Predicting Brain Responses to Naturalistic Stimuli
  He, Q., & Leong, Y. C.

• Automated scoring of the Ambiguous Intentions Hostility Questionnaire using fine-tuned large language models.
  Lyu, Y., Combs, D., Neumann, D., & Leong, Y. C.

• Emotional arousal enhances narrative memories through functional integration of large-scale brain networks
  Park, J. S., Gollapudi, K., Ke, J., Nau, M., Pappas, I., & Leong, Y. C.

• Linear representations of political perspective emerge in large language models
  Kim, J., Evans, J., & Schein, A.

• Unraveling Misinformation Propagation in LLM Reasoning
  Feng, Y., Wang, Y., Cui, S., Faltings, B., Lee, M., & Zhou, J.

• AbsenceBench: Language Models Can’t Tell What’s Missing
  Fu, H. Y., Shrivastava, A., Moore, J., West, P., Tan, C., & Holtzman, A.

• Linearly Decoding Refused Knowledge in Aligned Language Models
  Shrivastava, A., & Holtzman, A.

• Data assimilation with machine learning surrogate models: A case study with FourCastNet
  Adrian, M., Sanz-Alonso, D., & Willett, R.

• Evaluating the Goal-Directedness of Large Language Models
  Everitt, T., Garbacea, C., Bellot, A., Richens, J., Papadatos, H., Campos, S., & Shah, R.

• HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation
  Garbacea, C., & Tan, C.

• MOFA: Discovering Materials for Carbon Capture with a GenAI-and Simulation-Based Workflow
  Yan, X., Hudson, N., Park, H., Grzenda, D., Pauloski, J. G., Schwarting, M., Harb, H., Foreman, S., Knight, C., Gibbs, T., Chard, K., Chaudhuri, S., Tajkhorshid, E., Foster, I., Moosavi, M., Ward, L., & Huerta, E. A.

• Cartesian Equivariant Representations for Learning and Understanding Molecular Orbitals
  King, D., Grzenda, D., Zhu, R., Hudson, N., Foster, I., Cheng, B., & Gagliardi, L.

• Historical Polarization in Legislative Support for Civil Rights in the United States
  Jackson, J. C., Liu, Y., & Kteily, N. S.

• Prejudice Tied to State Centralization in Historical Societies
  Dillion, D., Liu, Y., Chen, Y., Watts, J., Zhao, C., Baral, S., Bucker, W., Atari, M., Kteily, N., & Jackson, J. C.

• Rising Moralization in Social Media Discourse
  Puryear, C., Brady, W., Jackson, J. C., Leong, Y., & Kteily, N.

• Seeds of Discourse: A Multilingual Corpus of Direct Quotations from African Media on Agricultural Biotechnologies
  Chiril, P., Spreadbury, T., Rock, J. S., Dowd-Uribe, B., & Uminsky, D.

• A Century of Inflation Narratives
  Heddaya, M., Tan, C., Voigt, R., Zeng, Q., & Zentefis, A.

• A machine learning model using clinical notes to identify physician fatigue
  Hsu, C.-C., Obermeyer, Z., & Tan, C.

• Hypobench: Towards systematic and principled benchmarking for hypothesis generation
  Liu, H., Huang, S., Hu, J., Zhou, Y., & Tan, C.

• Relu neural networks with linear layers are biased towards single-and multi-index models
  Parkinson, S., Ongie, G., & Willett, R.

• Prediction-Powered Adaptive Shrinkage Estimation
  Li, S., & Ignatiadis, N.

• Stein’s unbiased risk estimate and Hyvärinen’s score matching
  Ghosh, S., Ignatiadis, N., Koehler, F., & Lee, A.

• Introspective Growth: Automatically Advancing LLM Expertise in Technology Judgment
  Wu, S., Bao, H., Kunievsky, N., & Evans, J. A.

• Language models surface the unwritten code of science and society
  Bao, H., Wu, S., Choi, J., Mao, Y., & Evans, J. A.

• Layers at similar depths generate similar activations across llm architectures
  Wolfram, C., & Schein, A.

• Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
  Hood, J., De Bacco, C., & Schein, A.

• Modeling Latent Underdispersion with Discrete Order Statistics
  Lederman, J., & Schein, A.

• Private Retrieval Augmented Generation with Random Projection
  Yao, D., & Li, T.

• Multiple Streams of Relation Extraction: Enriching and Recalling in Transformers
  Nief, T., Reber, D., Richardson, S., & Holtzman, A.

• HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
  Li, M., Li, H., & Tan, C.

• Multi-frequency progressive refinement for learned inverse scattering
  Melia, O., Tsang, O., Charisopoulos, V., Khoo, Y., Hoskins, J., & Willett, R.

• Hardware Acceleration for HPS Algorithms in Two and Three Dimensions
  Melia, O., Fortunato, D., Hoskins, J., & Willett, R.

• Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
  Muchane, M., Richardson, S., Park, K., & Veitch, V.

• Concept Incongruence: An Exploration of Time and Death in Role Playing
  Bai, X., Peng, I., Singh, A., & Tan, C.

• Grounded Persuasive Language Generation for Automated Marketing
  Wu, J., Yang, C., Mahns, S., Wang, C., Zhu, H., Fang, F., & Xu, H.

• Tokenized Bandit for LLM Decoding and Alignment
  Shin, S., Yang, C., Xu, H., & Hajiaghayi, M. T.

• How Alignment Shrinks the Generative Horizon
  Yang, C., & Holtzman, A.

• Hierarchical Implicit Neural Emulators
  Jiang, R., Zhang, X., Jakhar, K., Lu, P. Y., Hassanzadeh, P., Maire, M., & Willett, R.

• CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
  Jiang, Y., Chen, C., Wang, S., Li, F., Tang, Z., Mervak, B. M., Chelala, L., Straus, C. M., Chahine, R., Armato, S. G. III, & Tan, C.

• The geometry of categorical and hierarchical concepts in large language models
  Park, K., Choe, Y. J., Jiang, Y., & Veitch, V.

• RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
  Reber, D., Richardson, S. M., Nief, T., Garbacea, C., & Veitch, V.

• Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
  Laus, H., Parkinson, S., Charisopoulos, V., Krahmer, F., & Willett, R.

• Nonlinear tomographic reconstruction via nonsmooth optimization
  Charisopoulos, V., & Willett, R.

2024

• Causal Micro-Narratives
  Zentefis, A., Tan, C., Heddaya, M., Voigt, R., & Zeng, Q.

• Casesumm: a large-scale dataset for long-context summarization from us supreme court opinions
  Heddaya, M., MacMillan, K., Malani, A., Mei, H., & Tan, C.

• Inconsistency of cross-validation for structure learning in Gaussian graphical models
  Lyu, Z., Tai, W. M., Kolar, M., & Aragam, B.

• Efficient adaptive federated optimization
  Lee, S. H., Sharma, S., Zaheer, M., & Li, T.

• Tilted Sharpness-Aware Minimization
  Li, T., Zhou, T., & Bilmes, J. A.

• Tree Bandits for Generative Bayes
  O’Hagan, S., Kim, J., & Rockova, V.

• Does Editing Provide Evidence for Localization?
  Wang, Z., & Veitch, V.

• Hostile attribution bias shapes neural synchrony in the left ventromedial prefrontal cortex during ambiguous social narratives
  Lyu, Y., Su, Z., Neumann, D., Meidenbauer, K. L., & Leong, Y. C.

• Residual connections harm self-supervised abstract feature learning
  Zhang, X., Jiang, R., Gao, W., Willett, R., & Maire, M.

• Latent intrinsics emerge from training to relight
  Zhang, X., Gao, W., Jain, S., Maire, M., Forsyth, D., & Bhattad, A.

• The linear representation hypothesis and the geometry of large language models
  Park, K., Choe, Y. J., & Veitch, V.

• An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions
  Bauer, A., Gonthier, M., Pan, H., Chard, R., Grzenda, D., Straesser, M., Pauloski, J. G., Kamatar, A., Baughman, M., Hudson, N., Foster, I., & Chard, K.

• Sok: On finding common ground in loss landscapes using deep model merging techniques
  Khan, A., Nief, T., Hudson, N., Sakarvadia, M., Grzenda, D., Ajith, A., Pettyjohn, J., Chard, K., & Foster, I.

• Deep Model Merging: The Sister of Neural Network Interpretability–A Survey
  Khan, A., Nief, T., Hudson, N., Sakravadia, M., Grzenda, D., Ajith, A., Pettyjohn, J., Chard, K., & Foster, I.

• BioMAISx: A Corpus for Aspect-Based Sentiment Analysis of Media Representations of Agricultural Biotechnologies in Africa
  Chiril, P., Spreadbury, T., Rock, J. S., Dowd-Uribe, B., & Uminsky, D.

• Quantifying the uniqueness and divisiveness of presidential discourse
  Zhou, K., Meitus, A. A., Chase, M., Wang, G., Mykland, A., Howell, W., & Tan, C.

• Hypothesis generation with large language models
  Zhou, Y., Liu, H., Srivastava, T., Mei, H., & Tan, C.

• The ALCORE Tensor Decomposition for Sparse Count Data
  Hood, J., & Schein, A. J.

• Nested diffusion models using hierarchical latent priors
  Zhang, X., Jiang, R., Willett, R., & Maire, M.

• Deep learning lattice gauge theories
  Apte, A., Córdova, C., Huang, T.-C., & Ashmore, A.

• Literature Meets Data: A Synergistic Approach to Hypothesis Generation
  Liu, H., Zhou, Y., Li, M., Yuan, C., & Tan, C.

• Neural entropy
  Premkumar, A.

• Diffusion Density Estimators
  Premkumar, A.

• Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts (NAACL 2024 Findings)
  Yang, C., Chakrabarty, T., Hochstatter, K. R., Slavin, M. N., El‑Bassel, N., & Muresan, S.

• When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models (NAACL 2024 Findings)
  Li, Y., Yang, C., & Ettinger, A.

• Training Machine Learning Emulators to Preserve Invariant Measures of Chaotic Attractors
  Lu, P., Jiang, R., Orlova, E., & Willett, R.

• Embed and Emulate: Contrastive representations for simulation-based inference
  Jiang, R., Lu, P. Y., & Willett, R.

• Bonbon alignment for large language models and the sweetness of best-of-n sampling
  Gui, L., Gârbacea, C., & Veitch, V.

• Stabilizing black-box model selection with the inflated argmax.
  Adrian, M., Soloff, J. A., & Willett, R.

• Gpt-4v cannot generate radiology reports yet
  Jiang, Y., Chen, C., Nguyen, D., Mervak, B. M., & Tan, C.

• Beyond reverse KL: Generalizing direct preference optimization with diverse divergence constraints
  Wang, C., Jiang, Y., Yang, C., Liu, H., & Chen, Y.

• On the origins of linear representations in large language models
  Jiang, Y., Rajendran, G., Ravikumar, P. K., Aragam, B., & Veitch, V.

2023

• Measurement in the age of llms: An application to ideological scaling
  O’Hagan, S., & Schein, A.

• Clinical Notes Reveal Physician Fatigue
  Hsu, C.-C., Obermeyer, Z., & Tan, C.

• Training neural operators to preserve invariant measures of chaotic attractors
  Jiang, R., Lu, P. Y., Orlova, E., & Willett, R.

• Rotation-invariant random features provide a strong baseline for machine learning on 3D point clouds
  Melia, O., Jonas, E., & Willett, R.

• Can You Follow Me? Testing Situational Understanding in ChatGPT (EMNLP 2023)
  Yang, C., & Ettinger, A.

• Deep Stochastic Mechanics
  Orlova, E., Ustimenko, A., Jiang, R., Lu, P. Y., & Willett, R.

• Concept algebra for (score-based) text-controlled generative models
  Wang, Z., Gui, L., Negrea, J., & Veitch, V.

• Uncovering meanings of embeddings via partial orthogonality
  Jiang, Y., Aragam, B., & Veitch, V.

• Learning nonparametric latent causal graphs with unknown interventions
  Jiang, Y., & Aragam, B.

2022

• A Unified Causal View of Domain Invariant Representation Learning
  Wang, Z., & Veitch, V.