Reliable and Interpretable Drift Detection in Streams of Short Texts
- Ella Rabinovich
- Matan Vetzler
- et al.
- 2023
- ACL 2023
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Prefix Siphoning: Exploiting LSM-Tree Range Filters For Information Disclosure
- Adi Kaufman
- Moshik Lanir Hershcovitch
- et al.
- 2023
- USENIX ATC 2023
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
- Ariel Gera
- Roni Friedman
- et al.
- 2023
- ACL 2023
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
- Arnav Mhaske
- Harshit Kedia
- et al.
- 2023
- ACL 2023
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
- Kevin Pei
- Ishan Jindal
- et al.
- 2023
- ACL 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
- Subhajit Chaudhury
- Sarathkrishna Swaminathan
- et al.
- 2023
- ACL 2023
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
- Maxwell Crouse
- Pavan Kapanipathi
- et al.
- 2023
- ACL 2023
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
- Shachar Don-Yehiya
- Elad Venezian
- et al.
- 2023
- ACL 2023
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
- Myles Foley
- Ambrish Rawat
- et al.
- 2023
- ACL 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2023
- DAC 2023