Ruprecht-Karls-Universität Heidelberg
Institut für Computerlinguistik

Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg


Date Session Materials
17.4. Orga slides
24.4. Paper 1: “TALM: Tool Augmented Language Models”, Parisi et al., 2022 reading group
1.5. Feiertag
8.5. Paper 2: “Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension”, Andor et al., 2019
Paper 3: “Training Verifiers to Solve Math Word Problems”, Cobbe et al., 2021
reading group
15.5. Kim: “PAL: Program-aided Language Models”, Gao et al., 2022
Raphael: “Toolformer: Language Models Can Teach Themselves to Use Tools”, Schick et al., 2023
22.5. Davit: “Making Language Models Better Tool Learners with Execution Feedback”, Qiao et al., 2023
Kim: “Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models”, Hsieh et al., 2023
29.5. Davit: “RestGPT: Connecting Large Language Models with Real-World RESTful APIs”, Song et al., 2023
Myta: “Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding”, Zhang et al., 2023
5.6. Paper 10: “ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings”, Hao et al., 2023
Myta: “Large Language Models as Tool Makers”, Cai et al., 2023
12.6. Paper 12: “Gorilla: Large Language Model Connected with Massive APIs”, Patil et al., 2023
Nikitas: “ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs”, Qin et al., 2023
19.6. David: “API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs”, Li et al., 2023
Tim: “OpenAGI: When LLM Meets Domain Experts”, Ge et al., 2023
26.6. David: “Voyager: An Open-Ended Embodied Agent with Large Language Models”, Wang et al., 2023
3.7. Backup
10.7. Backup
17.7. Implementation Project
24.7. Implementation Project
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