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What A Situated Language-Using Agent Must be Able to Do: A Top-Down
  Analysis

What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis

16 February 2023
David Schlangen
    LLMAGLM&Ro
ArXiv (abs)PDFHTML

Papers citing "What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis"

5 / 5 papers shown
A Dialogue Game for Eliciting Balanced Collaboration
A Dialogue Game for Eliciting Balanced Collaboration
Isidora Jeknic
David Schlangen
Alexander Koller
LLMAG
177
4
0
12 Jun 2024
Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a
  Curious Robot
Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a Curious Robot
Catherine Henry
Casey Kennington
252
1
0
03 Apr 2024
On the Computational Modeling of Meaning: Embodied Cognition Intertwined
  with Emotion
On the Computational Modeling of Meaning: Embodied Cognition Intertwined with Emotion
C. Kennington
LM&Ro
111
0
0
10 Jul 2023
Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as
  Conversational Agents
Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational AgentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kranti Chalamalasetti
Jana Gotze
Sherzod Hakimov
Brielen Madureira
P. Sadler
David Schlangen
ELMALMLLMAG
385
51
0
22 May 2023
Dialogue Games for Benchmarking Language Understanding: Motivation,
  Taxonomy, Strategy
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy
David Schlangen
ELM
163
17
0
14 Apr 2023
1
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