Unsupervised Learning of Video Representations using LSTMs. - Nitish Srivastava; Elman Mansimov; Ruslan Salakhutdinov (ICML, 2015)

Initialization Strategies of Spatio-Temporal Convolutional Neural Networks. - Elman Mansimov; Nitish Srivastava; Ruslan Salakhutdinov (CoRR, 2015)

Generating Images from Captions with Attention. - Elman Mansimov; Emilio Parisotto; Lei Jimmy Ba; Ruslan Salakhutdinov (ICLR, 2016)

Finger tracking: facilitating non-commercial content production for mobile e-reading applications. - Carrie Demmans Epp; Cosmin Munteanu; Benett Axtell; Keerthika Ravinthiran; Yomna Aly; Elman Mansimov (MobileHCI, 2017)

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation - Yuhuai Wu; Elman Mansimov; Roger B. Grosse; Shun Liao; Jimmy Ba (NIPS, 2017)

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. - Jason Lee 002; Elman Mansimov; Kyunghyun Cho (EMNLP, 2018)

Molecular geometry prediction using a deep generative graph neural network. - Elman Mansimov; Omar Mahmood; Seokho Kang 001; Kyunghyun Cho (CoRR, 2019)

A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models. - Elman Mansimov; Alex Wang; Kyunghyun Cho (CoRR, 2019)

Capturing document context inside sentence-level neural machine translation models with self-training. - Elman Mansimov; Gábor Melis; Lei Yu (CoRR, 2020)

Towards End-to-End In-Image Neural Machine Translation. - Elman Mansimov; Mitchell Stern; Mia Xu Chen; Orhan Firat; Jakob Uszkoreit; Puneet Jain (CoRR, 2020)

Neural Structured Prediction using Iterative Refinement with Applications to Text and Molecule Generation. - Elman Mansimov (2021)

Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder. - Elman Mansimov; Yi Zhang (AAAI, 2022)

Label Semantic Aware Pre-training for Few-shot Text Classification. - Aaron Mueller; Jason Krone; Salvatore Romeo; Saab Mansour; Elman Mansimov; Yi Zhang 001; Dan Roth 001 (ACL (1), 2022)

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. - Yixuan Su; Lei Shu 004; Elman Mansimov; Arshit Gupta; Deng Cai 002; Yi-An Lai; Yi Zhang (ACL (1), 2022)

Measuring and Reducing Model Update Regression in Structured Prediction for NLP. - Deng Cai 002; Elman Mansimov; Yi-An Lai; Yixuan Su; Lei Shu 004; Yi Zhang (NeurIPS, 2022)

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. - Raphael Shu; Elman Mansimov; Tamer Alkhouli; Nikolaos Pappas 004; Salvatore Romeo; Arshit Gupta; Saab Mansour; Yi Zhang 001; Dan Roth 001 (CoRR, 2022)

Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion. - Yi-An Lai; Elman Mansimov; Yuqing Xie 001; Yi Zhang (EACL (Findings), 2023)

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. - Mujeen Sung; James Gung; Elman Mansimov; Nikolaos Pappas 004; Raphael Shu; Salvatore Romeo; Yi Zhang 001; Vittorio Castelli (EMNLP, 2023)

Conversation Style Transfer using Few-Shot Learning. - Shamik Roy; Raphael Shu; Nikolaos Pappas 004; Elman Mansimov; Yi Zhang 001; Saab Mansour; Dan Roth 001 (IJCNLP (1), 2023)

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. - Dennis Ulmer; Elman Mansimov; Kaixiang Lin; Lijia Sun; Xibin Gao; Yi Zhang (ACL (Findings), 2024)

Backward Compatibility During Data Updates by Weight Interpolation. - Raphael Schumann; Elman Mansimov; Yi-An Lai; Nikolaos Pappas 004; Xibin Gao; Yi Zhang 001 (EACL (1), 2024)

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. - Dennis Ulmer; Elman Mansimov; Kaixiang Lin; Justin Sun; Xibin Gao; Yi Zhang (CoRR, 2024)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning. - Karthikeyan K; Michelle Yuan; Elman Mansimov; Katerina Margatina; Anurag Pratik; Daniele Bonadiman; Monica Sunkara; Yi Zhang 001; Yassine Benajiba (CoRR, 2025)