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Long Horizon Temperature Scaling

Long Horizon Temperature Scaling

7 February 2023
Andy Shih
Dorsa Sadigh
Stefano Ermon
    DiffM
ArXivPDFHTML

Papers citing "Long Horizon Temperature Scaling"

13 / 13 papers shown
Title
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Benjamin Lipkin
Benjamin LeBrun
Jacob Hoover Vigly
João Loula
David R. MacIver
...
Ryan Cotterell
Vikash K. Mansinghka
Timothy J. O'Donnell
Alexander K. Lew
Tim Vieira
29
0
0
07 Apr 2025
Enabling Autoregressive Models to Fill In Masked Tokens
Enabling Autoregressive Models to Fill In Masked Tokens
Daniel Israel
Aditya Grover
Guy Van den Broeck
AI4CE
53
1
0
09 Feb 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
99
2
0
03 Jan 2025
Controllable Generation via Locally Constrained Resampling
Controllable Generation via Locally Constrained Resampling
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
18
2
0
17 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Rui-cang Wang
LRM
50
4
0
17 Oct 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte
  Carlo
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao
Rob Brekelmans
Alireza Makhzani
Roger C. Grosse
34
31
0
26 Apr 2024
GeoAI Reproducibility and Replicability: a computational and spatial
  perspective
GeoAI Reproducibility and Replicability: a computational and spatial perspective
Wenwen Li
Chia-Yu Hsu
Sizhe Wang
Peter Kedron
AI4CE
26
6
0
15 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
42
0
0
11 Apr 2024
Improving Local Training in Federated Learning via Temperature Scaling
Improving Local Training in Federated Learning via Temperature Scaling
Kichang Lee
Songkuk Kim
Jeonggil Ko
FedML
33
1
0
18 Jan 2024
Amortizing intractable inference in large language models
Amortizing intractable inference in large language models
Marvin Schmitt
Moksh Jain
Daniel Habermann
Younesse Kaddar
Ullrich Kothe
Stefan T. Radev
Nikolay Malkin
AIFin
BDL
29
46
0
06 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
38
4
0
27 Sep 2023
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,257
0
16 Jan 2013
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