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Granite-Function Calling Model: Introducing Function Calling Abilities
  via Multi-task Learning of Granular Tasks

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks

27 June 2024
Ibrahim Abdelaziz
Kinjal Basu
Mayank Agarwal
Sadhana Kumaravel
Matthew Stallone
Rameswar Panda
Yara Rizk
G P Shrivatsa Bhargav
M. Crouse
Chulaka Gunasekara
S. Ikbal
Sachin Joshi
Hima P. Karanam
Vineet Kumar
Asim Munawar
S. Neelam
Dinesh Raghu
Udit Sharma
Adriana Meza Soria
Dheeraj Sreedhar
Praveen Venkateswaran
Merve Unuvar
David D. Cox
Salim Roukos
Luis A. Lastras
Pavan Kapanipathi
    LLMAG
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Papers citing "Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks"

19 / 19 papers shown
Title
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
X. Huang
Weiwen Liu
Xingshan Zeng
Y. Huang
Xinlong Hao
...
Yirong Zeng
Chuhan Wu
Yasheng Wang
R. Tang
Defu Lian
KELM
14
0
0
12 May 2025
When2Call: When (not) to Call Tools
When2Call: When (not) to Call Tools
Hayley Ross
Ameya Sunil Mahabaleshwarkar
Yoshi Suhara
92
0
0
26 Apr 2025
Efficient Single-Pass Training for Multi-Turn Reasoning
Efficient Single-Pass Training for Multi-Turn Reasoning
Ritesh Goru
Shanay Mehta
Prateek Jain
LRM
19
0
0
25 Apr 2025
A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
Emre Can Acikgoz
Cheng Qian
Hongru Wang
Vardhan Dongre
X. Chen
Heng Ji
Dilek Hakkani-Tür
Gökhan Tür
LM&Ro
ELM
43
1
0
07 Apr 2025
AutoPDL: Automatic Prompt Optimization for LLM Agents
AutoPDL: Automatic Prompt Optimization for LLM Agents
Claudio Spiess
Mandana Vaziri
Louis Mandel
Martin Hirzel
18
0
0
06 Apr 2025
ToolACE-R: Tool Learning with Adaptive Self-Refinement
ToolACE-R: Tool Learning with Adaptive Self-Refinement
Xingshan Zeng
W. Liu
X. Huang
Zezhong Wang
Lingzhi Wang
...
Y. Wang
Lifeng Shang
Xin Jiang
Ruiming Tang
Q. Liu
CLL
45
0
0
02 Apr 2025
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
Fan Yin
Zifeng Wang
I-Hung Hsu
Jun Yan
Ke Jiang
...
L. Le
Kai-Wei Chang
Chen-Yu Lee
Hamid Palangi
Tomas Pfister
44
2
0
10 Mar 2025
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
Zhenheng Tang
Xiang Liu
Qian Wang
Peijie Dong
Bingsheng He
Xiaowen Chu
Bo Li
LRM
44
1
0
24 Feb 2025
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model
Emre Can Acikgoz
Jeremiah Greer
Akul Datta
Ze Yang
William Zeng
Oussama Elachqar
Emmanouil Koukoumidis
Dilek Hakkani-Tür
Gökhan Tür
LLMAG
95
3
0
20 Feb 2025
PDL: A Declarative Prompt Programming Language
PDL: A Declarative Prompt Programming Language
Mandana Vaziri
Louis Mandel
Claudio Spiess
Martin Hirzel
AI4CE
30
1
0
24 Oct 2024
Hammer: Robust Function-Calling for On-Device Language Models via
  Function Masking
Hammer: Robust Function-Calling for On-Device Language Models via Function Masking
Qiqiang Lin
Muning Wen
Qiuying Peng
Guanyu Nie
Junwei Liao
...
Jiamu Zhou
Cheng Cheng
Yin Zhao
Jun Wang
Weinan Zhang
27
15
0
06 Oct 2024
Multimodal Large Language Models for Inverse Molecular Design with
  Retrosynthetic Planning
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
Gang Liu
Michael Sun
Wojciech Matusik
Meng-Long Jiang
Jie Chen
11
1
0
05 Oct 2024
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
Kinjal Basu
Ibrahim Abdelaziz
Kelsey Bradford
M. Crouse
Kiran Kate
...
Yara Rizk
Xin Wang
Luis A. Lastras
Pavan Kapanipathi
Pavan Kapanipathi
28
7
0
04 Sep 2024
ToolACE: Winning the Points of LLM Function Calling
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu
X. Huang
Xingshan Zeng
Xinlong Hao
Shuai Yu
...
Xin Jiang
Ruiming Tang
Defu Lian
Qun Liu
Enhong Chen
LLMAG
27
26
0
02 Sep 2024
Achieving Tool Calling Functionality in LLMs Using Only Prompt
  Engineering Without Fine-Tuning
Achieving Tool Calling Functionality in LLMs Using Only Prompt Engineering Without Fine-Tuning
Shengtao He
LLMAG
18
0
0
06 Jul 2024
SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang
Carlos E. Jimenez
Alexander Wettig
K. Lieret
Shunyu Yao
Karthik Narasimhan
Ofir Press
LLMAG
96
36
0
06 May 2024
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
228
278
0
15 Jul 2021
1