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ThinkSum: Probabilistic reasoning over sets using large language models

ThinkSum: Probabilistic reasoning over sets using large language models

4 October 2022
Batu Mehmet Ozturkler
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
    ReLM
    LRM
ArXivPDFHTML

Papers citing "ThinkSum: Probabilistic reasoning over sets using large language models"

13 / 13 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
59
0
0
02 May 2025
Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
Sherzod Hakimov
Lara Pfennigschmidt
David Schlangen
ELM
53
0
0
17 Feb 2025
Codenames as a Benchmark for Large Language Models
Codenames as a Benchmark for Large Language Models
Matthew Stephenson
Matthew Sidji
Benoît Ronval
LLMAG
LRM
ELM
105
1
0
16 Dec 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng
Ben Zhou
Weidong Lin
Dan Roth
66
4
0
18 Apr 2024
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via
  Tool Embeddings
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Shibo Hao
Tianyang Liu
Zhen Wang
Zhiting Hu
RALM
LLMAG
44
173
0
19 May 2023
Prompting Is Programming: A Query Language for Large Language Models
Prompting Is Programming: A Query Language for Large Language Models
Luca Beurer-Kellner
Marc Fischer
Martin Vechev
LRM
28
94
0
12 Dec 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
307
4,077
0
24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
220
190
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
308
3,237
0
21 Mar 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
308
11,915
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
344
8,457
0
28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,120
0
18 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
217
143
0
18 Apr 2021
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