Rico Angell

24 papers A* 5Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort.
CoRR
Xinpeng Wang, Nitish Joshi, Barbara Plank, Rico Angell, He He
2025 J jnl
Jailbreak Strength and Model Similarity Predict Transferability.
CoRR
Rico Angell, Jannik Brinkmann, He He
2025 J jnl
Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors.
CoRR
Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He
2024 A* conf
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching.
ICML
Rico Angell, Andrew McCallum
2024 A* conf
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.
NeurIPS
Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
2024 J jnl
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.
CoRR
Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
2024 J jnl
Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems.
CoRR
Rico Angell
2023 J jnl
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching.
CoRR
Rico Angell, Andrew McCallum
2022 A* conf
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
EMNLP
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022 J jnl
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization.
CoRR
Nishant Yadav, Nicholas Monath, Rico Angell, Manzil Zaheer, Andrew McCallum
2022 — conf
Entity Linking via Explicit Mention-Mention Coreference Modeling.
NAACL-HLT
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
2022 A* conf
Interactive Correlation Clustering with Existential Cluster Constraints.
ICML
Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum
2021 — conf
Clustering-based Inference for Biomedical Entity Linking.
NAACL-HLT
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
2021 J jnl
Entity Linking and Discovery via Arborescence-based Supervised Clustering.
CoRR
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
2021 J jnl
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology.
CoRR
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
2021 — conf
Low resource recognition and linking of biomedical concepts from a large ontology.
BCB
Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum
2021 J jnl
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.
CoRR
Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
2020 J jnl
Clustering-based Inference for Zero-Shot Biomedical Entity Linking.
CoRR
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum
2020 J jnl
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models.
CoRR
Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun
2018 A* conf
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes.
NeurIPS
Rico Angell, Daniel Sheldon
2018 — conf
Themis: automatically testing software for discrimination.
ESEC/SIGSOFT FSE
Rico Angell, Brittany Johnson, Yuriy Brun, Alexandra Meliou
2017 — conf
Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization.
WINE
Rico Angell, Grant Schoenebeck
2016 J jnl
Don't Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximization.
CoRR
Rico Angell, Grant Schoenebeck
2015 — conf
A Topological Approach to Hardware Bug Triage.
MTV
Rico Angell, Ben Oztalay, Andrew DeOrio