Lucas Dixon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
15
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL. | Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin MacMurray van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon |
| 2025 | EMNLP | To Mask or to Mirror: Human-AI Alignment in Collective Reasoning. | Crystal Qian, Aaron T. Parisi, Clmentine Bouleau, Vivian Tsai, Mal Lebreton, Lucas Dixon |
| 2025 | ICLR | Scalable Influence and Fact Tracing for Large Language Model Pretraining. | Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney |
| 2024 | CHI | LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. | Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon |
| 2024 | CHI | "We Need Structured Output": Towards User-centered Constraints on Large Language Model Output. | Michael Xieyang Liu, Frederick Liu, Alexander J. Fiannaca, Terry Koo, Lucas Dixon, Michael Terry, Carrie J. Cai |
| 2024 | COLING | Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. | Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon |
| 2024 | ICML | Interpretability Illusions in the Generalization of Simplified Models. | Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun |
| 2024 | ICML | Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models. | Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva |
| 2024 | ICML | Decoding-time Realignment of Language Models. | Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-Lpez, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel |
| 2023 | EMNLP | Towards Agile Text Classifiers for Everyone. | Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon |
| 2023 | RecSys | Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. | Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon |
| 2022 | ICML | GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. | Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui |
| 2022 | SIGIR | On Natural Language User Profiles for Transparent and Scrutable Recommendation. | Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin |
| 2021 | EACL | Civil Rephrases Of Toxic Texts With Self-Supervised Transformers. | Lo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon |
| 2020 | ACL | Toxicity Detection: Does Context Really Matter? | John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos |
| 2019 | WWW | Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions. | Lora Aroyo, Lucas Dixon, Nithum Thain, Olivia Redfield, Rachel Rosen |
| 2019 | WWW | Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. | Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman |
| 2018 | ACL | Conversations Gone Awry: Detecting Early Signs of Conversational Failure. | Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Dario Taraborelli, Nithum Thain |
| 2018 | AIES | Measuring and Mitigating Unintended Bias in Text Classification. | Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman |
| 2018 | CHI | Managing Deviant Behavior in Online Communities III. | Amy S. Bruckman, Jennifer E. Below, Lucas Dixon, Casey Fiesler, Eric E. Gilbert, Sarah A. Gilbert, J. Nathan Matias |
| 2018 | EMNLP | WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. | Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon |
| 2017 | WWW | Ex Machina: Personal Attacks Seen at Scale. | Ellery Wulczyn, Nithum Thain, Lucas Dixon |
| 2010 | CADE | Refinement and Term Synthesis in Loop Invariant Generation. | Ewen Maclean, Andrew Ireland, Lucas Dixon, Robert Atkey |
| 2010 | ITP | Case-Analysis for Rippling and Inductive Proof. | Moa Johansson, Lucas Dixon, Alan Bundy |
| 2008 | AISC | Extending Graphical Representations for Compact Closed Categories with Applications to Symbolic Quantum Computation. | Lucas Dixon, Ross Duncan |
| 2005 | CCGRID | Deductive synthesis of workflows for e-Science. | Bin Yang, Alan Bundy, Alan Smaill, Lucas Dixon |
| 2003 | CADE | IsaPlanner: A Prototype Proof Planner in Isabelle. | Lucas Dixon, Jacques D. Fleuriot |