LitLLMs, LLMs for Literature Review: Are we there yet?
Shubham Agarwal
Gaurav Sahu
Abhay Puri
Issam Hadj Laradji
Krishnamurthy Dj Dvijotham
Jason Stanley
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Thomas Schmied
Jorg Bornschein
Jordi Grau-Moya
Markus Wulfmeier
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Sergio Arnaud
Paul McVay
Ada Martin
Arjun Majumdar
Krishna Murthy
Phillip Thomas
Ruslan Partsey
Daniel Dugas
Abha Gejji
Alexander Sax
Vincent-Pierre Berges
Mikael Henaff
Ayush Jain
Ang Cao
Ishita Prasad
Mrinal Kalakrishnan
Nicolas Ballas
Mahmoud Assran
Oleksandr Maksymets … (voir 2 de plus)
Aravind Rajeswaran
Franziska Meier
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
Matt Schmittle
Rohan Baijal
Nathan Hatch
Rosario Scalise
Mateo Guaman Castro
Sidharth Talia
Byron Boots
S. Srinivasa
Lugha-Llama: Adapting Large Language Models for African Languages
Happy Buzaaba
Alexander Wettig
Christiane Fellbaum
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Amir Ali Farzin
Yuen-Man Pun
Philipp Braun
Youssef Diouane
Iman Shames
Multiple-model coding scheme for electrical signal compression
Corentin Presvôts
Michel Kieffer
Thibault Prevost
Patrick Panciatici
Zuxing Li
Multiple-model coding scheme for electrical signal compression
Corentin Presvôts
Michel Kieffer
Thibault Prevost
Patrick Panciatici
Zuxing Li
Negative Language Transfer Identification in the English Writing of Chinese and Farsi Native Speakers
Mohammad Karimiabdolmaleki
Leticia Farias Wanderley
Mohsen Rezazadeh
Carrie Demmans Epp
Neural Kinematic Bases for Fluids
Yibo Liu
Paul Kry
Kenny Erleben
Sune Darkner
Teseo Schneider
Online Interior-point Methods for Time-varying Equality-constrained Optimization
Jean-Luc Lupien
Iman Shames
Performance Smells in ML and Non-ML Python Projects: A Comparative Study
Franccois Belias
Leuson Da Silva
Cyrine Zid