Survey reveals quantum knowledge distillation can improve some models but benefits vary significantly by task/architecture. Standardized evaluation protocols and noise-aware learning remain critical priorities for realizing practical quantum advantage.
#QuantumML #KnowledgeDistillation #News
#QuantumML #KnowledgeDistillation #News
Quantum Knowledge Distillation: Critical Assessment of Transfer and Compression Techniques
iq.fp2.dev
November 6, 2026 at 3:38 PM
Survey reveals quantum knowledge distillation can improve some models but benefits vary significantly by task/architecture. Standardized evaluation protocols and noise-aware learning remain critical priorities for realizing practical quantum advantage.
#QuantumML #KnowledgeDistillation #News
#QuantumML #KnowledgeDistillation #News
COFFEQA introduces a counterfactual-guided few-shot distillation strategy for open-book QA, showing that uncertain samples near the teacher's decision boundary can hurt distillation performance. It uses…
#OpenSourceAI #LLMs #KnowledgeDistillation #NLP
https://arxiv.org/abs/2610.12837
#OpenSourceAI #LLMs #KnowledgeDistillation #NLP
https://arxiv.org/abs/2610.12837
October 12, 2026 at 10:01 AM
COFFEQA introduces a counterfactual-guided few-shot distillation strategy for open-book QA, showing that uncertain samples near the teacher's decision boundary can hurt distillation performance. It uses…
#OpenSourceAI #LLMs #KnowledgeDistillation #NLP
https://arxiv.org/abs/2610.12837
#OpenSourceAI #LLMs #KnowledgeDistillation #NLP
https://arxiv.org/abs/2610.12837
KDFP introduces a first-principles methodology for white-box general knowledge distillation in LLMs, addressing gaps left by prior work focused on post-training abilities like instruction following and…
#AIresearch #LLMs #KnowledgeDistillation #ModelCompression
https://arxiv.org/abs/2610.10854
#AIresearch #LLMs #KnowledgeDistillation #ModelCompression
https://arxiv.org/abs/2610.10854
October 9, 2026 at 6:01 PM
KDFP introduces a first-principles methodology for white-box general knowledge distillation in LLMs, addressing gaps left by prior work focused on post-training abilities like instruction following and…
#AIresearch #LLMs #KnowledgeDistillation #ModelCompression
https://arxiv.org/abs/2610.10854
#AIresearch #LLMs #KnowledgeDistillation #ModelCompression
https://arxiv.org/abs/2610.10854
September 16, 2026 at 4:38 PM
September 16, 2026 at 4:37 PM
September 16, 2026 at 4:37 PM
Chinese-based AI Firms: Systematic Extraction of US Frontier AI Models via Knowledge Distillation
https://www.news4hackers.com/us-agencies-warn-chinas-systematic-frontier-ai-extraction-threat
https://flagthis.com/tldr/7203
##KnowledgeDistillation ##AISecurity ##IPTheft ##FrontierAI ##ChinaThreat
https://www.news4hackers.com/us-agencies-warn-chinas-systematic-frontier-ai-extraction-threat
https://flagthis.com/tldr/7203
##KnowledgeDistillation ##AISecurity ##IPTheft ##FrontierAI ##ChinaThreat
US Agencies Warn: China's Systematic Frontier AI Extraction Threat
US agencies warn China systematically extracts frontier AI capabilities via data distillation, targeting models like GPT, Claude, and Gemini. Techniques include API-based reverse-engineering, posing risks to US tech leadership and security.
www.news4hackers.com
September 13, 2026 at 11:40 AM
Chinese-based AI Firms: Systematic Extraction of US Frontier AI Models via Knowledge Distillation
https://www.news4hackers.com/us-agencies-warn-chinas-systematic-frontier-ai-extraction-threat
https://flagthis.com/tldr/7203
##KnowledgeDistillation ##AISecurity ##IPTheft ##FrontierAI ##ChinaThreat
https://www.news4hackers.com/us-agencies-warn-chinas-systematic-frontier-ai-extraction-threat
https://flagthis.com/tldr/7203
##KnowledgeDistillation ##AISecurity ##IPTheft ##FrontierAI ##ChinaThreat
#CISA: #China based #AIcompanies are conducting industrial-scale #knowledgedistillation campaigns to extract proprietary functionalities from U.S. #AImodels, including those from #DeepSeek, #MoonshotAI, #Alibaba, #MiniMax, #StepFun, and #ZAI. These activities, likely with Chinese government…
tech news ᳇ eicker.news (@technews@eicker.news)
#CISA: #China based #AIcompanies are conducting industrial-scale #knowledgedistillation campaigns to extract proprietary functionalities from U.S. #AImodels, including those from #DeepSeek, #MoonshotAI, #Alibaba, #MiniMax, #StepFun, and #ZAI. These activities, likely with Chinese government awareness, target reasoning capabilities, specialised optimisations, and domain-specific functions. https://www.cisa.gov/news-events/cybersecurity-advisories/aa26-251a?eicker.news #tech #news #ainew
eicker.news
September 10, 2026 at 1:29 PM
#CISA: #China based #AIcompanies are conducting industrial-scale #knowledgedistillation campaigns to extract proprietary functionalities from U.S. #AImodels, including those from #DeepSeek, #MoonshotAI, #Alibaba, #MiniMax, #StepFun, and #ZAI. These activities, likely with Chinese government…
"Knowledge distillation in Machine Learning just got cheaper and more efficient. New systems changes cut training costs, making large-scale experimentation practical. 🧠💸 #MachineLearning #KnowledgeDistillation"
Making Knowledge Distillation Cheap Enough to Run at Scale
A Blog post by Multiverse Computing on Hugging Face
huggingface.co
August 24, 2026 at 6:39 AM
"Knowledge distillation in Machine Learning just got cheaper and more efficient. New systems changes cut training costs, making large-scale experimentation practical. 🧠💸 #MachineLearning #KnowledgeDistillation"
LLM 양자화 완벽 가이드! INT4로 메모리 87.5% 절감, FP8로 처리량 43% 향상. GPTQ vs AWQ vs GGUF 비교, Llama 3 양자화 성능 벤치마크, Q4까지 손실 2% 미만! Pruning + Knowledge Distillation 경량화 기법, 하드웨어별 추천 전략, QLoRA Fine-tuning까지!
#AWQ #FP8 #GGUF #GPTQ #INT4 #INT8 #KnowledgeDistillation #Llama3 #llamacpp
doyouknow.kr/618/llm-quan...
#AWQ #FP8 #GGUF #GPTQ #INT4 #INT8 #KnowledgeDistillation #Llama3 #llamacpp
doyouknow.kr/618/llm-quan...
December 4, 2025 at 7:24 AM
LLM 양자화 완벽 가이드! INT4로 메모리 87.5% 절감, FP8로 처리량 43% 향상. GPTQ vs AWQ vs GGUF 비교, Llama 3 양자화 성능 벤치마크, Q4까지 손실 2% 미만! Pruning + Knowledge Distillation 경량화 기법, 하드웨어별 추천 전략, QLoRA Fine-tuning까지!
#AWQ #FP8 #GGUF #GPTQ #INT4 #INT8 #KnowledgeDistillation #Llama3 #llamacpp
doyouknow.kr/618/llm-quan...
#AWQ #FP8 #GGUF #GPTQ #INT4 #INT8 #KnowledgeDistillation #Llama3 #llamacpp
doyouknow.kr/618/llm-quan...
PLA AI Distillation of GPT-3.5 and Claude for Autonomous Weaponry
https://cybersecuritynews.com/chinese-military-researchers-use-ai-distillation
https://flagthis.com/tldr/5760
##PLA ##OpenAI ##Anthropic ##AIWarfare ##KnowledgeDistillation
https://cybersecuritynews.com/chinese-military-researchers-use-ai-distillation
https://flagthis.com/tldr/5760
##PLA ##OpenAI ##Anthropic ##AIWarfare ##KnowledgeDistillation
August 5, 2026 at 12:09 AM
PLA AI Distillation of GPT-3.5 and Claude for Autonomous Weaponry
https://cybersecuritynews.com/chinese-military-researchers-use-ai-distillation
https://flagthis.com/tldr/5760
##PLA ##OpenAI ##Anthropic ##AIWarfare ##KnowledgeDistillation
https://cybersecuritynews.com/chinese-military-researchers-use-ai-distillation
https://flagthis.com/tldr/5760
##PLA ##OpenAI ##Anthropic ##AIWarfare ##KnowledgeDistillation
Published at #irrj: "Beyond Hostility: Detecting Subtle and Overt Forms of Online Conflict with Multi-Objective Learning" by Oliver Warke, Joemon M. Jose, and Jan Breitsohl. #hostility, #onlineconflictdetection, #socialmedia, #behaviouranalysis, #knowledgedistillation, #Transformers, #nlp […]
Original post on sigmoid.social
sigmoid.social
June 23, 2026 at 8:59 AM
Published at #irrj: "Beyond Hostility: Detecting Subtle and Overt Forms of Online Conflict with Multi-Objective Learning" by Oliver Warke, Joemon M. Jose, and Jan Breitsohl. #hostility, #onlineconflictdetection, #socialmedia, #behaviouranalysis, #knowledgedistillation, #Transformers, #nlp […]
Most transfer learning assumes shared data, tasks, or domains.
BIRD shows you can transfer behavior itself even when those assumptions break.
All details here:
arxiv.org/abs/2505.23933
#KnowledgeDistillation #Robustness #MachineLearning #AIResearch #ResponsibleAI
BIRD shows you can transfer behavior itself even when those assumptions break.
All details here:
arxiv.org/abs/2505.23933
#KnowledgeDistillation #Robustness #MachineLearning #AIResearch #ResponsibleAI
BIRD: Behavior Induction via Representation-structure Distillation
Human-aligned deep learning models exhibit behaviors consistent with human values, such as robustness, fairness, and honesty. Transferring these behavioral properties to models trained on different ta...
arxiv.org
February 8, 2026 at 5:35 PM
Most transfer learning assumes shared data, tasks, or domains.
BIRD shows you can transfer behavior itself even when those assumptions break.
All details here:
arxiv.org/abs/2505.23933
#KnowledgeDistillation #Robustness #MachineLearning #AIResearch #ResponsibleAI
BIRD shows you can transfer behavior itself even when those assumptions break.
All details here:
arxiv.org/abs/2505.23933
#KnowledgeDistillation #Robustness #MachineLearning #AIResearch #ResponsibleAI
We introduce BIRD: Behavior Induction via Representation-structure Distillation.
Instead of transferring outputs, BIRD aligns the geometry of internal representations between teacher and student, enabling weak → strong generalization.
#KnowledgeDistillation #TransferLearning #Robustness
Instead of transferring outputs, BIRD aligns the geometry of internal representations between teacher and student, enabling weak → strong generalization.
#KnowledgeDistillation #TransferLearning #Robustness
February 8, 2026 at 5:35 PM
We introduce BIRD: Behavior Induction via Representation-structure Distillation.
Instead of transferring outputs, BIRD aligns the geometry of internal representations between teacher and student, enabling weak → strong generalization.
#KnowledgeDistillation #TransferLearning #Robustness
Instead of transferring outputs, BIRD aligns the geometry of internal representations between teacher and student, enabling weak → strong generalization.
#KnowledgeDistillation #TransferLearning #Robustness
Weekend build: a caching layer for knowledge distillation that hashes each training prompt and stores the teacher's top-k logits on disk so you never pay to query the teacher twice
#MachineLearning #knowledgedistillation #MLinfra
#MachineLearning #knowledgedistillation #MLinfra
August 14, 2026 at 4:01 PM
Weekend build: a caching layer for knowledge distillation that hashes each training prompt and stores the teacher's top-k logits on disk so you never pay to query the teacher twice
#MachineLearning #knowledgedistillation #MLinfra
#MachineLearning #knowledgedistillation #MLinfra
Als OpenAI dit kan bewijzen, kan dit leiden tot juridische stappen, hoewel dit een langdurig proces zal zijn vanwege de complexiteit en geopolitieke implicaties :: www.linkedin.com/posts/luizaj...
Luiza Jarovsky on LinkedIn: #ai #aigovernance #ailaw #openai #deepseek #knowledgedistillation | 163 comments
🚨 BREAKING: OpenAI says there is evidence DeepSeek distilled the knowledge out of OpenAI's models, BREACHING its terms of use and infringing on its… | 163 comments on LinkedIn
www.linkedin.com
January 29, 2025 at 1:55 PM
Als OpenAI dit kan bewijzen, kan dit leiden tot juridische stappen, hoewel dit een langdurig proces zal zijn vanwege de complexiteit en geopolitieke implicaties :: www.linkedin.com/posts/luizaj...
CPSC‑DFKD, a conditional GAN method for data‑free knowledge distillation, creates class‑specific synthetic images. The preprint was posted Oct 2025 and the code is on GitHub. Read more: https://getnews.me/conditional-pseudo-supervised-contrast-for-data-free-distillation/ #knowledgedistillation #cgan
October 7, 2025 at 1:11 PM
CPSC‑DFKD, a conditional GAN method for data‑free knowledge distillation, creates class‑specific synthetic images. The preprint was posted Oct 2025 and the code is on GitHub. Read more: https://getnews.me/conditional-pseudo-supervised-contrast-for-data-free-distillation/ #knowledgedistillation #cgan
The MGKD framework trains a teacher on Tencent Mobile Payment in‑service data and a student on pre‑service data, boosting early risk forecasts versus baselines. Read more: https://getnews.me/ai-knowledge-distillation-boosts-pre-service-risk-forecasts/ #knowledgedistillation #fintech
September 27, 2025 at 4:05 AM
The MGKD framework trains a teacher on Tencent Mobile Payment in‑service data and a student on pre‑service data, boosting early risk forecasts versus baselines. Read more: https://getnews.me/ai-knowledge-distillation-boosts-pre-service-risk-forecasts/ #knowledgedistillation #fintech
TVKD adds a soft reward from a teacher model’s value function to Direct Preference Optimization, boosting performance on benchmarks without extra rollouts. Read more: https://getnews.me/value-based-knowledge-distillation-boosts-preference-optimization/ #knowledgedistillation #preferencoptimization
September 24, 2025 at 3:56 PM
TVKD adds a soft reward from a teacher model’s value function to Direct Preference Optimization, boosting performance on benchmarks without extra rollouts. Read more: https://getnews.me/value-based-knowledge-distillation-boosts-preference-optimization/ #knowledgedistillation #preferencoptimization
Hybrid knowledge distillation shrinks speech-driven 3D facial animation models to 3.4 MB and audio context to 81 ms while keeping real‑time high quality. https://getnews.me/hybrid-distillation-enables-low-resource-high-quality-facial-animation/ #facialanimation #knowledgedistillation
September 23, 2025 at 12:46 AM
Hybrid knowledge distillation shrinks speech-driven 3D facial animation models to 3.4 MB and audio context to 81 ms while keeping real‑time high quality. https://getnews.me/hybrid-distillation-enables-low-resource-high-quality-facial-animation/ #facialanimation #knowledgedistillation
Distilled student models for learned image compression cut inference time by over 30% and lower energy use, while matching teacher quality on benchmarks. Read more: https://getnews.me/knowledge-distillation-boosts-efficiency-of-learned-image-compression/ #knowledgedistillation #imagecompression
September 17, 2025 at 6:19 AM
Distilled student models for learned image compression cut inference time by over 30% and lower energy use, while matching teacher quality on benchmarks. Read more: https://getnews.me/knowledge-distillation-boosts-efficiency-of-learned-image-compression/ #knowledgedistillation #imagecompression
Ever wonder how a tiny student net can match a massive ensemble? This paper shows knowledge distillation keeps the student’s capacity just right, squeezing performance without bloat. Dive in for the tricks behind smarter model compression! #KnowledgeDistillation #ModelCompression #EnsembleLearning
April 11, 2026 at 11:15 AM
Ever wonder how a tiny student net can match a massive ensemble? This paper shows knowledge distillation keeps the student’s capacity just right, squeezing performance without bloat. Dive in for the tricks behind smarter model compression! #KnowledgeDistillation #ModelCompression #EnsembleLearning
Check out the blog: superteams.ai/blog/a-hands...
#AIInfrastructure #ModelCompression #KnowledgeDistillation
#AIInfrastructure #ModelCompression #KnowledgeDistillation
A Hands-on Guide to Knowledge Distillation - Superteams.ai
Compress large AI models for cost-efficient deployment using Knowledge Distillation.
superteams.ai
May 26, 2025 at 5:24 AM
Check out the blog: superteams.ai/blog/a-hands...
#AIInfrastructure #ModelCompression #KnowledgeDistillation
#AIInfrastructure #ModelCompression #KnowledgeDistillation