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Deductive Closure Training of Language Models for Coherence, Accuracy,
  and Updatability

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

16 January 2024
Afra Feyza Akyürek
Ekin Akyürek
Leshem Choshen
Derry Wijaya
Jacob Andreas
    HILM
    SyDa
ArXivPDFHTML

Papers citing "Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability"

12 / 12 papers shown
Title
Reasoning Models Don't Always Say What They Think
Reasoning Models Don't Always Say What They Think
Yanda Chen
Joe Benton
Ansh Radhakrishnan
Jonathan Uesato
Carson E. Denison
...
Vlad Mikulik
Samuel R. Bowman
Jan Leike
Jared Kaplan
E. Perez
ReLM
LRM
65
7
1
08 May 2025
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
52
0
0
02 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates
Zeyu Leo Liu
Shrey Pandit
Xi Ye
Eunsol Choi
Greg Durrett
KELM
ALM
66
4
0
08 Jul 2024
Language Modeling with Editable External Knowledge
Language Modeling with Editable External Knowledge
Belinda Z. Li
Emmy Liu
Alexis Ross
Abbas Zeitoun
Graham Neubig
Jacob Andreas
KELM
25
4
0
17 Jun 2024
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
Bairu Hou
Yang Zhang
Jacob Andreas
Shiyu Chang
66
5
0
11 Jun 2024
Entailer: Answering Questions with Faithful and Truthful Chains of
  Reasoning
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
ReLM
KELM
LRM
60
52
0
21 Oct 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
212
189
0
24 May 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual
  Style Transfer with Small Language Models
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
Mirac Suzgun
Luke Melas-Kyriazi
Dan Jurafsky
VLM
77
64
0
23 May 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in
  Question Answering Models
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Livska
Tomávs Kovciský
E. Gribovskaya
Tayfun Terzi
Eren Sezener
...
Susannah Young
Ellen Gilsenan-McMahon
Sophia Austin
Phil Blunsom
Angeliki Lazaridou
KELM
226
89
0
23 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
297
3,163
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
303
11,730
0
04 Mar 2022
1