ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.14425
  4. Cited By
From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning

From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning

20 May 2025
Chalamalasetti Kranti
Sherzod Hakimov
David Schlangen
ArXivPDFHTML

Papers citing "From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning"

7 / 7 papers shown
Title
Synthetic Data Generation Using Large Language Models: Advances in Text and Code
Synthetic Data Generation Using Large Language Models: Advances in Text and Code
Mihai Nadas
Laura Diosan
Andreea Tomescu
SyDa
92
3
0
18 Mar 2025
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Lucy Xiaoyang Shi
Brian Ichter
Michael Equi
Liyiming Ke
Karl Pertsch
...
Adrian Li-Bell
Danny Driess
Lachy Groom
Sergey Levine
Chelsea Finn
LM&Ro
LRM
115
16
0
26 Feb 2025
Instruction Following with Goal-Conditioned Reinforcement Learning in
  Virtual Environments
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments
Zoya Volovikova
A. Skrynnik
Petr Kuderov
Aleksandr I. Panov
LLMAG
LM&Ro
74
1
0
12 Jul 2024
NeBuLa: A discourse aware Minecraft Builder
NeBuLa: A discourse aware Minecraft Builder
Akshay Chaturvedi
Kate Thompson
Nicholas Asher
67
4
0
26 Jun 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A
  Case Study on Minecraft
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
Chalamalasetti Kranti
Sherzod Hakimov
David Schlangen
62
3
0
25 Jun 2024
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
697
41,736
0
28 May 2020
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday
  Tasks
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar
Jesse Thomason
Daniel Gordon
Yonatan Bisk
Winson Han
Roozbeh Mottaghi
Luke Zettlemoyer
Dieter Fox
LM&Ro
104
766
0
03 Dec 2019
1