Javier Turek

19 papers A* 1B 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents.
CoRR
Mathis Pink, Qinyuan Wu, Vy Ai Vo, Javier Turek, Jianing Mu, Alexander Huth, Mariya Toneva
2025 J jnl
Reversing Large Language Models for Efficient Training and Fine-Tuning.
CoRR
Eshed Gal, Moshe Eliasof, Javier Turek, Uri M. Ascher, Eran Treister, Eldad Haber
2024 J jnl
On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity.
CoRR
Pablo Rivas, Tomás Cerný, Alejandro Rodríguez Pérez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter
2023 B conf
Humans and language models diverge when predicting repeating text.
CoNLL
Aditya R. Vaidya, Javier Turek, Alexander Huth
2023 J jnl
Humans and language models diverge when predicting repeating text.
CoRR
Aditya R. Vaidya, Javier Turek, Alexander G. Huth
2023 J jnl
Large Language Models Based Automatic Synthesis of Software Specifications.
CoRR
Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S. M. Farabi Mahmud, Todd A. Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid
2022 J jnl
Synthesizing Programs with Continuous Optimization.
CoRR
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid
2021 — conf
Learning Fitness Functions for Machine Programming.
MLSys
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid
2021 J jnl
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses.
CoRR
Richard J. Antonello, Javier Turek, Vy A. Vo, Alexander Huth
2021 — conf
Selecting Informative Contexts Improves Language Model Fine-tuning.
ACL/IJCNLP (1)
Richard J. Antonello, Nicole Beckage, Javier Turek, Alexander Huth
2020 A* conf
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network.
ICML
Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke
2020 J jnl
Selecting Informative Contexts Improves Language Model Finetuning.
CoRR
Richard J. Antonello, Javier Turek, Alexander Huth
2015 — —
Topics in sparse representation modeling and applications.
Javier Turek
2014 — conf
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation.
NIPS
Eran Treister, Javier Turek
2014 J jnl
On MAP and MMSE estimators for the co-sparse analysis model.
Digit. Signal Process.
Javier Turek, Irad Yavneh, Michael Elad
2011 J jnl
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary.
IEEE Trans. Signal Process.
Javier Turek, Irad Yavneh, Michael Elad
2010 J jnl
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
CoRR
Javier Turek, Irad Yavneh, Matan Protter, Michael Elad
2009 J jnl
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use.
IBM J. Res. Dev.
Marina Biberstein, Shiri Dori-Hacohen, Yuval Harel, Andre Heilper, Bilha Mendelson, Uzi Shvadron, Eran Treister, Javier Turek, Moon S. Chang
2008 B conf
Trace-based Performance Analysis on Cell BE.
ISPASS
Marina Biberstein, Uzi Shvadron, Javier Turek, Bilha Mendelson, Moon S. Chang