Jonathan Richard Schwarz

27 papers A* 8Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aligning Language Model Benchmarks with Pairwise Preferences.
CoRR
Marco Gutierrez, Xinyi Leng, Hannah Cyberey, Jonathan Richard Schwarz, Ahmed Alaa, Thomas Hartvigsen
2026 J jnl
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training.
CoRR
Lukas Thede, Stefan Winzeck, Zeynep Akata, Jonathan Richard Schwarz
2026 J jnl
Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning.
CoRR
Dezhao Song, Guglielmo Bonifazi, Frank Schilder, Jonathan Richard Schwarz
2025 J jnl
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization.
CoRR
Shengzhuang Chen, Xu Ouyang, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
2025 J jnl
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization.
Trans. Mach. Learn. Res.
Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz
2025 — conf
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts.
ACL (1)
Shengzhuang Chen, Ying Wei, Jonathan Richard Schwarz
2025 J jnl
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts.
CoRR
Shengzhuang Chen, Ying Wei, Jonathan Richard Schwarz
2025 — conf
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses.
EMNLP (Industry Track)
Fangyi Yu, Nabeel Seedat, Drahomira Herrmannova, Frank Schilder, Jonathan Richard Schwarz
2025 J jnl
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses.
CoRR
Fangyi Yu, Nabeel Seedat, Dasha Herrmannova, Frank Schilder, Jonathan Richard Schwarz
2025 A* conf
Composable Interventions for Language Models.
ICLR
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2025 J jnl
Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings.
CoRR
Andrew M. Bean, Nabeel Seedat, Shengzhuang Chen, Jonathan Richard Schwarz
2024 A* conf
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video.
CVPR
Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2024 A* conf
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training.
NeurIPS
David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham M. Kakade
2024 J jnl
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training.
CoRR
David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham M. Kakade
2024 J jnl
Composable Interventions for Language Models.
CoRR
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2024 J jnl
Empowering Biomedical Discovery with AI Agents.
CoRR
Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, Marinka Zitnik
2024 A* conf
Online Adaptation of Language Models with a Memory of Amortized Contexts.
NeurIPS
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 J jnl
Online Adaptation of Language Models with a Memory of Amortized Contexts.
CoRR
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 A* conf
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts.
ICML
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei
2024 J jnl
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts.
CoRR
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei
2023 J jnl
C3: High-performance and low-complexity neural compression from a single image or video.
CoRR
Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2023 J jnl
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations.
CoRR
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Learning Large-scale Neural Fields via Context Pruned Meta-Learning.
NeurIPS
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Modality-Agnostic Variational Compression of Implicit Neural Representations.
ICML
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023 J jnl
Modality-Agnostic Variational Compression of Implicit Neural Representations.
CoRR
Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023 A* conf
Secure Out-of-Distribution Task Generalization with Energy-Based Models.
NeurIPS
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
2022 J jnl
Meta-Learning Sparse Compression Networks.
CoRR
Jonathan Richard Schwarz, Yee Whye Teh