diff History for Neural Language Agents

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diff History for Neural Language Agents

12 December 2023

Ulyana Piterbarg

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Papers citing "diff History for Neural Language Agents"

18 / 18 papers shown

Title
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 204 22 0 20 Nov 2024
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis Ulyana Piterbarg Lerrel Pinto Rob Fergus SyDa 82 2 0 03 Oct 2024
Graph of Thoughts: Solving Elaborate Problems with Large Language Models Maciej Besta Nils Blach Aleš Kubíček Robert Gerstenberger Michal Podstawski ... Joanna Gajda Tomasz Lehmann H. Niewiadomski Piotr Nyczyk Torsten Hoefler LRM AI4CE LM&Ro 167 707 0 18 Aug 2023
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro Roberta Raileanu Dan Rothermel Vegard Mella Tim Rocktaschel Heinrich Küttler Naila Murray OffRL 220 19 0 01 Nov 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 111 355 0 06 Oct 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 211 826 0 12 May 2022
Prompt Consistency for Zero-Shot Task Generalization Chunting Zhou Junxian He Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig VLM 87 78 0 29 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 531 6,293 0 05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 195 1,988 0 04 Apr 2022
Insights From the NeurIPS 2021 NetHack Challenge Eric Hambro Sharada Mohanty Dmitrii Babaev Mi-Ra Byeon Dipam Chakraborty ... Dan Rothermel Mikayel Samvelyan Dmitry Sorokin Maciej Sypetkowski Michal Sypetkowski 62 19 0 22 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 850 9,683 0 28 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye Anders Andreassen Guy Gur-Ari Henryk Michalewski Jacob Austin ... Aitor Lewkowycz Maarten Bosma D. Luan Charles Sutton Augustus Odena ReLM LRM 183 756 0 30 Nov 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 173 752 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 592 4,093 0 18 Apr 2021
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 84 181 0 24 Jun 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 638 4,921 0 23 Jan 2020
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 84 118 0 22 Jul 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 104 241 0 18 Oct 2018