Data of the "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" paper
AI & ML interests
LLM, trustworthy AI, AI security, privacy, calibration, hallucination
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Papers
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Organization Card
This is the organization grouping all the models and datasets of the research papers written at Parameter Lab.
List of research articles of Parameter Lab
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Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Paper • 2601.15220 • Published • 9 -
Dr.LLM: Dynamic Layer Routing in LLMs
Paper • 2510.12773 • Published • 32 -
Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Paper • 2510.18019 • Published • 18 -
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Paper • 2506.15674 • Published • 2
Data of the "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" paper
List of research articles of Parameter Lab
-
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Paper • 2601.15220 • Published • 9 -
Dr.LLM: Dynamic Layer Routing in LLMs
Paper • 2510.12773 • Published • 32 -
Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-Translation Solution
Paper • 2510.18019 • Published • 18 -
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Paper • 2506.15674 • Published • 2
models 8
parameterlab/apricot_clustering_coqa_deberta-v3-base_for_gpt-3.5-turbo-0125
Text Classification • 0.2B • Updated
• 9
parameterlab/apricot_binary_coqa_deberta-v3-base_for_gpt-3.5-turbo-0125
Text Classification • 0.2B • Updated
• 1
parameterlab/apricot_clustering_trivia_qa_deberta-v3-base_for_gpt-3.5-turbo-0125
Text Classification • 0.2B • Updated
parameterlab/apricot_binary_trivia_qa_deberta-v3-base_for_gpt-3.5-turbo-0125
Text Classification • 0.2B • Updated
• 2
parameterlab/apricot_clustering_coqa_deberta-v3-base_for_vicuna-7b-v1.5
Text Classification • 0.2B • Updated
• 1
parameterlab/apricot_binary_coqa_deberta-v3-base_for_vicuna-7b-v1.5
Text Classification • 0.2B • Updated
parameterlab/apricot_binary_trivia_qa_deberta-v3-base_for_vicuna-7b-v1.5
Text Classification • 0.2B • Updated
• 5 • 1
parameterlab/apricot_clustering_trivia_qa_deberta-v3-base_for_vicuna-7b-v1.5
Text Classification • 0.2B • Updated
• 2
datasets 25
parameterlab/c-seo-results
Viewer
• Updated
• 143k • 122
parameterlab/c-seo-bench
Viewer
• Updated
• 16.4k • 116 • 3
parameterlab/leaky_thoughts
Updated
• 28 • 2
parameterlab/scaling_mia_results
Updated
• 99 • 1
parameterlab/scaling_mia_the_pile_00_Gutenberg_PG-19
Viewer
• Updated
• 2.34k • 12
parameterlab/scaling_mia_the_pile_00_PubMed_Central
Viewer
• Updated
• 202k • 18 • 1
parameterlab/scaling_mia_the_pile_00_Ubuntu_IRC
Viewer
• Updated
• 666 • 16
parameterlab/scaling_mia_the_pile_00_USPTO_Backgrounds
Viewer
• Updated
• 393k • 22
parameterlab/scaling_mia_the_pile_00_NIH_ExPorter
Viewer
• Updated
• 63.3k • 10
parameterlab/scaling_mia_the_pile_00_PubMed_Abstracts
Viewer
• Updated
• 1.04M • 11 • 2