Jack Lanchantin

47 papers A* 4Misc 1Journal 32Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning over mathematical objects: on-policy reward modeling and test time aggregation. CoRR Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim, Ilia Kulikov, Jack Lanchantin, Xian Li, Tianjian Li, Bo Liu, Graham Neubig, Anaelia Ovalle, Swarnadeep Saha, Sainbayar Sukhbaatar, Sean Welleck, Jason Weston, Chenxi Whitehouse, Adina Williams, Jing Xu, Ping Yu, Weizhe Yuan, Jingyu Zhang, Wenting Zhao
2025	J	`jnl`	Bridging Offline and Online Reinforcement Learning for LLMs. CoRR Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E. Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025	J	`jnl`	CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks. CoRR Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan, Olga Golovneva, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025	J	`jnl`	Diverse Preference Optimization. CoRR Jack Lanchantin, Angelica Chen, Shehzaad Dhuliawala, Ping Yu, Jason Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025	J	`jnl`	Jointly Reinforcing Diversity and Quality in Language Model Generations. CoRR Tianjian Li, Yiming Zhang, Ping Yu, Swarnadeep Saha, Daniel Khashabi, Jason Weston, Jack Lanchantin, Tianlu Wang
2025	J	`jnl`	LLM Output Homogenization is Task Dependent. CoRR Shomik Jain, Jack Lanchantin, Maximilian Nickel, Karen Ullrich, Ashia Wilson, Jamelle Watson-Daniels
2025	J	`jnl`	LLM Pretraining with Continuous Concepts. CoRR Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason Weston, Xian Li
2025	J	`jnl`	NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. CoRR Yang Li, Youssef Emad, Karthik Padthe, Jack Lanchantin, Weizhe Yuan, Thao Nguyen, Jason Weston, Shang-wen Li, Dong Wang, Ilia Kulikov, Xian Li
2025	J	`jnl`	OptimalThinkingBench: Evaluating Over and Underthinking in LLMs. CoRR Pranjal Aggarwal, Seungone Kim, Jack Lanchantin, Sean Welleck, Jason Weston, Ilia Kulikov, Swarnadeep Saha
2025	J	`jnl`	SPICE: Self-Play In Corpus Environments Improves Reasoning. CoRR Bo Liu, Chuanyang Jin, Seungone Kim, Weizhe Yuan, Wenting Zhao, Ilia Kulikov, Xian Li, Sainbayar Sukhbaatar, Jack Lanchantin, Jason Weston
2024	J	`jnl`	Adaptive Decoding via Latent Preference Optimization. CoRR Shehzaad Dhuliawala, Ilia Kulikov, Ping Yu, Asli Celikyilmaz, Jason Weston, Sainbayar Sukhbaatar, Jack Lanchantin
2024	—	`conf`	Compositional Interfaces for Compositional Generalization. CoLLAs Jelena Luketina, Jack Lanchantin, Sainbayar Sukhbaatar, Arthur Szlam
2024	—	`conf`	TOOLVERIFIER: Generalization to New Tools via Self-Verification. EMNLP (Findings) Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024	J	`jnl`	TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2023	A*	`conf`	A Data Source for Reasoning Embodied Agents. AAAI Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
2023	J	`jnl`	A Data Source for Reasoning Embodied Agents. CoRR Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
2023	A*	`conf`	Learning to Reason and Memorize with Self-Notes. NeurIPS Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar
2023	J	`jnl`	Learning to Reason and Memorize with Self-Notes. CoRR Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar
2023	—	`conf`	Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha
2021	A*	`conf`	General Multi-Label Image Classification With Transformers. CVPR Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2021	—	`conf`	Transfer learning for predicting virus-host protein interactions for novel virus sequences. BCB Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi
2020	J	`jnl`	FastSK: fast sequence analysis with gapped string kernels. Bioinform. Derrick Blakely, Eamon Collins, Ritambhara Singh, Andrew P. Norton, Jack Lanchantin, Yanjun Qi
2020	J	`jnl`	General Multi-label Image Classification with Transformers. CoRR Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2020	J	`jnl`	Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome data. Bioinform. Jack Lanchantin, Yanjun Qi
2020	—	`conf`	Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020	J	`jnl`	Reevaluating Adversarial Examples in Natural Language. CoRR John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2019	J	`jnl`	Neural Message Passing for Multi-Label Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2019	—	`conf`	Neural Message Passing for Multi-label Classification. ECML/PKDD (2) Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2019	J	`jnl`	Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2018	—	`conf`	Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. IEEE Symposium on Security and Privacy Workshops Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
2018	J	`jnl`	Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. CoRR Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
2018	J	`jnl`	Exploring the Naturalness of Buggy Code with Recurrent Neural Networks. CoRR Jack Lanchantin, Ji Gao
2017	—	`conf`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	Misc	`conf`	Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2017	—	`conf`	GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	J	`jnl`	GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	—	`conf`	Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) Jack Lanchantin, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Memory Matching Networks for Genomic Sequence Classification. CoRR Jack Lanchantin, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2016	J	`jnl`	Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2016	J	`jnl`	Deep Motif: Visualizing Genomic Sequence Classifications. CoRR Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
2016	J	`jnl`	DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2016	J	`jnl`	DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2016	A*	`conf`	MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI Zeming Lin, Jack Lanchantin, Yanjun Qi
2016	J	`jnl`	MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction. CoRR Zeming Lin, Jack Lanchantin, Yanjun Qi
2016	J	`jnl`	Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi