JL
Jack Lanchantin
cs.LGcs.CLcs.AIbioinformaticsstat.MLcs.CRcs.CVcs.IRcs.NENeural Networks, Computer
On Valency
published · living versionsW_kwzn9zcn·v1 · currentpublished
Aligning Autoresearch: Co-Improvement between Agents and Humans
with Tianjian Li, Chuanyang Jin, Seungone Kim, Tong Chen +8
1 version
Preprints & journals
35 papers in the corpus · 2016–2026Muse Glimmer 30B: An On-Device Agentic Model2610.24628v3 · Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed et al.2026 · 0 citationsarXiv
Autodata: An agentic data scientist to create high quality synthetic data2606.25996v3 · Ilia Kulikov, Chenxi Whitehouse, Tianhao Wu et al.2026 · 0 citationsarXiv
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation2603.18886v1 · Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim et al.2026 · 0 citationsarXiv
Self-Improving Pretraining: using post-trained models to pretrain better models2601.21343v3 · Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala et al.2026 · 0 citationsarXiv
SPICE: Self-Play In Corpus Environments Improves Reasoning2510.24684v1 · Bo Liu, Chuanyang Jin, Seungone Kim et al.2025 · 0 citationsarXiv
Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework2509.21267v3 · Shomik Jain, Jack Lanchantin, Maximilian Nickel et al.2025 · 0 citationsarXiv
Jointly Reinforcing Diversity and Quality in Language Model Generations2509.02534v1 · Tianjian Li, Yiming Zhang, Ping Yu et al.2025 · 2 citationsarXiv
OptimalThinkingBench: Evaluating Over and Underthinking in LLMs2508.13141v2 · Pranjal Aggarwal, Seungone Kim, Jack Lanchantin et al.2025 · 1 citationarXiv
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2507.23751v2 · Ping Yu, Jack Lanchantin, Tianlu Wang et al.2025 · 0 citationsarXiv
NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks2507.01921v1 · Yang Li, Youssef Emad, Karthik Padthe et al.2025 · 0 citationsarXiv
Bridging Offline and Online Reinforcement Learning for LLMs2506.21495v1 · Jack Lanchantin, Angelica Chen, Janice Lan et al.2025 · 0 citationsarXiv
LLM Pretraining with Continuous Concepts2502.08524v1 · Jihoon Tack, Jack Lanchantin, Jane Yu et al.2025 · 0 citationsarXiv
Diverse Preference Optimization2501.18101v4 · Jack Lanchantin, Angelica Chen, Shehzaad Dhuliawala et al.2025 · 2 citationsarXiv
Adaptive Decoding via Latent Preference Optimization2411.09661v1 · Shehzaad Dhuliawala, Ilia Kulikov, Ping Yu et al.2024 · 1 citationarXiv
TOOLVERIFIER: Generalization to New Tools via Self-Verification2402.14158v2 · Dheeraj Mekala, Jason Weston, Jack Lanchantin et al.2024 · 6 citationsarXiv
A Data Source for Reasoning Embodied Agents2309.07974v1 · Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve et al.2023 · 6 citationsarXiv
Learning to Reason and Memorize with Self-Notes2305.00833v2 · Jack Lanchantin, Shubham Toshniwal, Jason Weston et al.2023 · 9 citationsarXiv
Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome data.33381816 · Lanchantin, Jack, Qi, Yanjun2021 · 17 citationsBioinformatics (Oxford, England). 2020;36(Suppl_2):i659-i667
FastSK: fast sequence analysis with gapped string kernels.33381828 · Blakely, Derrick, Collins, Eamon, Singh, Ritambhara et al.2021 · 6 citationsBioinformatics (Oxford, England). 2020;36(Suppl_2):i857-i865
Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences10.1101/2020.12.14.422772v2 · Lanchantin, J., Weingarten, T., Sekhon, A. et al.2020 · 20 citationsbioRxiv
General Multi-label Image Classification with Transformers2011.14027v1 · Jack Lanchantin, Tianlu Wang, Vicente Ordonez et al.2020 · 376 citationsarXiv
Reevaluating Adversarial Examples in Natural Language2004.14174v3 · John X. Morris, Eli Lifland, Jack Lanchantin et al.2020 · 92 citationsFindings of the Association for Computational Linguistics: EMNLP 2020
Neural Message Passing for Multi-Label Classification1904.08049v1 · Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi2019 · 40 citationsarXiv
Opportunities and obstacles for deep learning in biology and medicine.29618526 · Ching, Travers, Himmelstein, Daniel S, Beaulieu-Jones, Brett K et al.2019 · 2,294 citationsJournal of the Royal Society, Interface. 2018;15(141)
Exploring the Naturalness of Buggy Code with Recurrent Neural Networks1803.08793v1 · Jack Lanchantin, Ji Gao2018 · 1 citationarXiv
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers1801.04354v5 · Ji Gao, Jack Lanchantin, Mary Lou Soffa et al.2018 · 692 citationsarXiv
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.30147283 · Singh, Ritambhara, Lanchantin, Jack, Sekhon, Arshdeep et al.2019 · 93 citationsAdvances in neural information processing systems. 2017;30:6785-6795
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification1710.11238v2 · Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh et al.2017 · 0 citationsarXiv
GaKCo: a Fast GApped k-mer string Kernel using COunting1704.07468v3 · Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari et al.2017 · 26 citationsarXiv
Memory Matching Networks for Genomic Sequence Classification1702.06760v1 · Jack Lanchantin, Ritambhara Singh, Yanjun Qi2017 · 2 citationsarXiv
DEEP MOTIF DASHBOARD: VISUALIZING AND UNDERSTANDING GENOMIC SEQUENCES USING DEEP NEURAL NETWORKS.27896980 · Lanchantin, Jack, Singh, Ritambhara, Wang, Beilun et al.2017 · 126 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2017;22:254-265
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction.27654939 · Singh, Ritambhara, Lanchantin, Jack, Robins, Gabriel et al.2020 · 3 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2019;16(5):1524-1536
DeepChrome: deep-learning for predicting gene expression from histone modifications.27587684 · Singh, Ritambhara, Lanchantin, Jack, Robins, Gabriel et al.2017 · 306 citationsBioinformatics (Oxford, England). 2016;32(17):i639-i648
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction1605.03004v1 · Zeming Lin, Jack Lanchantin, Yanjun Qi2016 · 50 citationsarXiv
Deep Motif: Visualizing Genomic Sequence Classifications1605.01133v2 · Jack Lanchantin, Ritambhara Singh, Zeming Lin et al.2016 · 54 citationsarXiv
Career total: 46 works. 35 are in this corpus.
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