Aldo Pareja

14 papers A* 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization.
CoRR
Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong
2025 — conf
GPU Tail Latency Diagnosis for Serverless and HPC Workloads using eBPF.
WOSC@Middleware
Erfan Darzi, Aldo Pareja, Kaveh Jalilian, Shreeanant Bharadwaj
2025 J jnl
Host-Side Telemetry for Performance Diagnosis in Cloud and HPC GPU Infrastructure.
CoRR
Erfan Darzi, Aldo Pareja, Shreeanant Bharadwaj
2025 J jnl
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning.
CoRR
Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Hao Wang, Aldo Pareja, Oleg Silkin, Mustafa Eyceoz, Akash Srivastava
2025 A* conf
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
ICLR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2024 A* conf
Curiosity-driven Red-teaming for Large Language Models.
ICLR
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
2024 J jnl
Curiosity-driven Red-teaming for Large Language Models.
CoRR
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
2024 J jnl
LAB: Large-Scale Alignment for ChatBots.
CoRR
Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D. Cox, Akash Srivastava
2024 J jnl
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs.
CoRR
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
2021 — conf
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation.
APOCS
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
2020 A* conf
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
AAAI
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
2019 J jnl
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
CoRR
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson
2018 J jnl
Logical Rule Induction and Theory Learning Using Neural Theorem Proving.
CoRR
Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel
2018 J jnl
Scalable Graph Learning for Anti-Money Laundering: A First Look.
CoRR
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl