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Stress-Testing Capability Elicitation With Password-Locked Models
To determine the safety of large language models (LLMs), AI developers must be able to assess their dangerous capabilities. But simple prompting strategies often fail to elicit an LLM’s full capabilities. One way to elicit capabilities more robustly is to fine-tune the LLM to complete the task. In this paper, we invest...
https://openreview.net/pdf/060fc5a68cf9e8cd99067fa71d86b9b2407c68af.pdf
[ { "confidence": 4, "rating": 8, "review_id": "Hgk9jK64zF", "review_text": "The paper studies whether fine-tuning can elicit the hidden capabilities of LLMs, especially motivated by the setting of dangerous capabilities evaluations. \n\nTo provide a specific experimental setup, the paper considers pa...
## Stress-Testing Capability Elicitation With Password-Locked Models Ryan Greenblatt ∗ Redwood Research ryan@rdwrs.com Fabien Roger ∗ Redwood Research fabien.d.roger@gmail.com Dmitrii Krasheninnikov University of Cambridge dk655@cam.ac.uk ## David Krueger University of Cambridge david.scott.krueger@gmail.com #...
zxSWIdyW3A
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
"Existing reconstruction models in snapshot compressive imaging systems (SCI) are trained with a sin(...TRUNCATED)
https://openreview.net/pdf/9784818faf1b61e993e8c55556f64ad6c612ecad.pdf
[{"confidence":3,"rating":5,"review_id":"OYqo48ZEnI","review_text":"The authors present a Federated (...TRUNCATED)
"## Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging\n\nJiamian Wang 1 ∗ , Zo(...TRUNCATED)
zw2K6LfFI9
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
"Long-horizon manipulation tasks with general instructions often implicitly encapsulate multiple sub(...TRUNCATED)
https://openreview.net/pdf/2a39fcbdd8617cd0a7fbe9312a20b9b51ea8ab74.pdf
[{"confidence":4,"rating":6,"review_id":"hd3aedGTvC","review_text":"The paper proposes a framework t(...TRUNCATED)
"## PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation(...TRUNCATED)
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Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
"We study the gradient Expectation-Maximization (EM) algorithm for Gaussian Mixture Models (GMM) in (...TRUNCATED)
https://openreview.net/pdf/01089f1b9d7a3757d7fe8abda681870c3db968be.pdf
[{"confidence":3,"rating":6,"review_id":"6LkxBEXYgp","review_text":"The paper studies the convergenc(...TRUNCATED)
"## Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models\n\nWeiha(...TRUNCATED)
zv4UISZzp5
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation
"As Large Language Models (LLMs) become more capable of handling increasingly complex tasks, the eva(...TRUNCATED)
https://openreview.net/pdf/74ed0078ffe00fb63ba32cc447f4540054349fbb.pdf
[{"confidence":3,"rating":7,"review_id":"ecG0hpo8bm","review_text":"This paper proposes a method of (...TRUNCATED)
"## IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation\n\nFan Lin , Shuyi Xie ,(...TRUNCATED)
zuwpeRkJNH
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
"Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap a(...TRUNCATED)
https://openreview.net/pdf/b754552d7cad51cf70357809a56df08d88257ab9.pdf
[{"confidence":5,"rating":8,"review_id":"x9lmNImh2H","review_text":"The paper addresses challenges i(...TRUNCATED)
"## Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation\n\n(...TRUNCATED)
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A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
"We study the complexity of heavy-tailed sampling and present a separation result in terms of obtain(...TRUNCATED)
https://openreview.net/pdf/bd86dfe1f5fac662f55df1bccfbb1134cf9043ed.pdf
[{"confidence":3,"rating":7,"review_id":"e2ERikvqJN","review_text":"The paper investigates the compl(...TRUNCATED)
"## A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers\n\nYe H(...TRUNCATED)
zuWgB7GerW
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
"We show that deep neural networks (DNNs) can efficiently learn any\ncomposition of functions with b(...TRUNCATED)
https://openreview.net/pdf/d47299e76cea5209510c750a7137c8f8ce0de3bd.pdf
[{"confidence":3,"rating":5,"review_id":"HoG0k5Pjq5","review_text":"This paper introduces Accordion (...TRUNCATED)
"## How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning\n\nAnonymous (...TRUNCATED)
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OxonFair: A Flexible Toolkit for Algorithmic Fairness
"We present OxonFair, a new open source toolkit for enforcing fairness in binary classification. Com(...TRUNCATED)
https://openreview.net/pdf/1198c251b0f5664b73f1ec30b356982f81f81fc7.pdf
[{"confidence":3,"rating":7,"review_id":"eHIhFf9cWw","review_text":"The paper introduces \"AnonFair,(...TRUNCATED)
"## OxonFair: A Flexible Toolkit for Algorithmic Fairness\n\nEoin Delaney\n\nZihao Fu\n\nUniversity (...TRUNCATED)
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G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
"Medical imaging tasks require an understanding of subtle and localized visual features due to the i(...TRUNCATED)
https://openreview.net/pdf/266314e449f23eb30c332e9f0688da33556f643c.pdf
[{"confidence":5,"rating":5,"review_id":"wPn9WWqSQg","review_text":"This paper proposes G2D, a novel(...TRUNCATED)
"## G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training\n(...TRUNCATED)
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