NeurIPS 2023 Workshop FMDM Submissions

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, brian ichter
- Published: 07 Nov 2023, Last Modified: 08 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language models
Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua Tenenbaum, Tianmin Shu, Chuang Gan
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen McAleer
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
AvalonBench: Evaluating LLMs Playing the Game of Avalon
Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu
- Published: 07 Nov 2023, Last Modified: 17 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Using Large Language Models for Hyperparameter Optimization
Michael R. Zhang, Nishkrit Desai, Juhan Bae, Jonathan Lorraine, Jimmy Ba
- Published: 07 Nov 2023, Last Modified: 07 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Importance of Directional Feedback for LLM-based Optimizers
Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
In-Context Multi-Armed Bandits via Supervised Pretraining
Fred Weiying Zhang, Jiaxin Ye, Zhuoran Yang
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Exploration with Principles for Diverse AI Supervision
Hao Liu, Matei Zaharia, Pieter Abbeel
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Ring Attention with Blockwise Transformers for Near-Infinite Context
Hao Liu, Matei Zaharia, Pieter Abbeel
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
FoMo rewards: Can we cast foundation models as reward functions?
Ekdeep Singh Lubana, Johann Brehmer, Pim De Haan, Taco Cohen
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks
Jannik Sheikh, Andrew Melnik, Gora Chand Nandi, Robert Haschke
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Capture the Flag: Uncovering Data Insights with Large Language Models
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vazquez, Christopher Pal, Alexandre Drouin
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Active Preference Inference using Language Models and Probabilistic Reasoning
Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati
- Published: 07 Nov 2023, Last Modified: 06 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
$S^2AC$: ENERGY-BASED REINFORCEMENT LEARNING WITH STEIN SOFT ACTOR CRITIC
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
LLM Augmented Hierarchical Agents
Bharat Prakash, Tim Oates, Tinoosh Mohsenin
- Published: 07 Nov 2023, Last Modified: 14 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Chethan Anand Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Self-Select: Optimizing Instruction Selection for Large Language Models
Keshav Ramji, Alexander Kyimpopkin
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Scaling Offline Q-Learning with Vision Transformers
Yingjie Miao, Jordi Orbay, Rishabh Agarwal, Aviral Kumar, George Tucker, Aleksandra Faust
- Published: 07 Nov 2023, Last Modified: 05 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei
- Published: 07 Nov 2023, Last Modified: 08 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs
- Published: 07 Nov 2023, Last Modified: 08 Nov 2023
- FMDM@NeurIPS2023
- Readers: Everyone
GPT-4 Doesn’t Know It’s Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly, Matthew Marquez, Subbarao Kambhampati
- Published: 07 Nov 2023, Last Modified: 04 Dec 2023
- FMDM@NeurIPS2023
- Readers: Everyone