Activation Steering

Recently Added

Guiding Language Model Behavior with Angular Steering

Unmasking True AI Behavior: Steering Language Models to Act as if Deployed

Navigating the Knowledge Crossroads: How AI Models Handle Conflicting Information in Code and Beyond

MusicRFM: Enhancing Creative Control in AI Music Generation

Diagnosing and Correcting Latent Sycophancy in AI Models with the Beacon Benchmark

MERA: A Principled Approach to Reducing Language Model Errors Through Adaptive Steering

Blending Minds: How BILLY Unlocks Advanced Creativity in Single Language Models

PIXEL: Enhancing LLM Behavior Control Through Adaptive Position-Wise Steering

MLLMEraser: A New Approach to Making AI Models Forget Information on Demand

REPIT: Achieving Granular Control Over Language Model Behavior

Enhancing Vision Language Model Safety with Adaptive Steering and Preference Optimization

Dynamic Steering and Backtracking: A New Way to Guide Large Language Models

Steering Large Language Models Away From Bias: A New Approach to Safer AI

EmoSteer-TTS: Precise Emotion Control in Synthesized Speech Without Retraining

Guiding Small Language Models to Reason with Cache Steering

Streamlining LLM Reasoning: A New Approach to Chain-of-Thought Compression

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Unveiling the Dual Nature of LLM Safety: A New Framework to Bypass Alignment

November 11, 2025

MENTOR: Teaching LLMs to Self-Assess and Mitigate Hidden Dangers in Domain Tasks

November 11, 2025

Unifying LLM Control: How In-Context Learning and Activation Steering Shape Model Beliefs

November 4, 2025

Financial Sector Fortifies Against Surging AI-Powered Scams

Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital

Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption

Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks

Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation

Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector

Financial Sector Fortifies Against Surging AI-Powered Scams

Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital

Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption

Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks

Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation

Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector

MENTOR: Teaching LLMs to Self-Assess and Mitigate Hidden Dangers in Domain Tasks

Unifying LLM Control: How In-Context Learning and Activation Steering Shape Model Beliefs

Fints: Tailoring LLMs to Individual Preferences in Real-Time

Uncovering Culture-Specific Neural Pathways in Vision-Language Models

Recently Added

Guiding Language Model Behavior with Angular Steering

Unmasking True AI Behavior: Steering Language Models to Act as if Deployed

Navigating the Knowledge Crossroads: How AI Models Handle Conflicting Information in Code and Beyond

MusicRFM: Enhancing Creative Control in AI Music Generation

Diagnosing and Correcting Latent Sycophancy in AI Models with the Beacon Benchmark

MERA: A Principled Approach to Reducing Language Model Errors Through Adaptive Steering

Blending Minds: How BILLY Unlocks Advanced Creativity in Single Language Models

PIXEL: Enhancing LLM Behavior Control Through Adaptive Position-Wise Steering

MLLMEraser: A New Approach to Making AI Models Forget Information on Demand

REPIT: Achieving Granular Control Over Language Model Behavior

Enhancing Vision Language Model Safety with Adaptive Steering and Preference Optimization

Dynamic Steering and Backtracking: A New Way to Guide Large Language Models

Steering Large Language Models Away From Bias: A New Approach to Safer AI

EmoSteer-TTS: Precise Emotion Control in Synthesized Speech Without Retraining

Guiding Small Language Models to Reason with Cache Steering

Streamlining LLM Reasoning: A New Approach to Chain-of-Thought Compression

Gen AI News and Updates

Unveiling the Dual Nature of LLM Safety: A New Framework to Bypass Alignment

MENTOR: Teaching LLMs to Self-Assess and Mitigate Hidden Dangers in Domain Tasks

Unifying LLM Control: How In-Context Learning and Activation Steering Shape Model Beliefs

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