<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | TSG Lab – Technical Safety &amp; Governance Lab</title><link>https://tsglab.github.io/publication-type/paper-conference/</link><atom:link href="https://tsglab.github.io/publication-type/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://tsglab.github.io/media/logo.svg</url><title>Paper-Conference</title><link>https://tsglab.github.io/publication-type/paper-conference/</link></image><item><title>Context Matters: Analyzing the Generalizability of Linear Probing and Steering Across Diverse Scenarios</title><link>https://tsglab.github.io/publication/context-matters-linear-probing-steering/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/context-matters-linear-probing-steering/</guid><description/></item><item><title>Emerging Risks from Embodied AI Require Urgent Policy Action</title><link>https://tsglab.github.io/publication/emerging-risks-embodied-ai/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/emerging-risks-embodied-ai/</guid><description/></item><item><title>Establishing Best Practices for Building Rigorous Agentic Benchmarks</title><link>https://tsglab.github.io/publication/agentic-benchmarks-best-practices/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/agentic-benchmarks-best-practices/</guid><description/></item><item><title>Full-Stack Alignment: Co-Aligning AI and Institutions with Thicker Models of Value</title><link>https://tsglab.github.io/publication/full-stack-alignment-institutions/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/full-stack-alignment-institutions/</guid><description/></item><item><title>Beyond Linear Steering: Unified Multi-Attribute Control for Language Models</title><link>https://tsglab.github.io/publication/beyond-linear-steering-multi-attribute-control/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/beyond-linear-steering-multi-attribute-control/</guid><description/></item><item><title>Precise In-Parameter Concept Erasure in Large Language Models</title><link>https://tsglab.github.io/publication/precise-concept-erasure-llms/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/precise-concept-erasure-llms/</guid><description/></item><item><title>Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness</title><link>https://tsglab.github.io/publication/latent-adversarial-prompt-robustness/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/latent-adversarial-prompt-robustness/</guid><description/></item><item><title>Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs</title><link>https://tsglab.github.io/publication/trust-me-im-wrong-hallucinations/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/trust-me-im-wrong-hallucinations/</guid><description/></item><item><title>Rethinking Safety in LLM Fine-Tuning: An Optimization Perspective</title><link>https://tsglab.github.io/publication/rethinking-safety-llm-finetuning/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/rethinking-safety-llm-finetuning/</guid><description/></item><item><title>Do Sparse Autoencoders Generalize? A Case Study of Answerability</title><link>https://tsglab.github.io/publication/sparse-autoencoders-generalize-answerability/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/sparse-autoencoders-generalize-answerability/</guid><description/></item><item><title>PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning</title><link>https://tsglab.github.io/publication/poisonbench/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/poisonbench/</guid><description/></item><item><title>Scaling Sparse Feature Circuit Finding for In-Context Learning</title><link>https://tsglab.github.io/publication/scaling-sparse-feature-circuit-finding/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/scaling-sparse-feature-circuit-finding/</guid><description/></item><item><title>In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?</title><link>https://tsglab.github.io/publication/geopolitical-rivals-ai-safety-cooperation/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/geopolitical-rivals-ai-safety-cooperation/</guid><description/></item><item><title>Rethinking AI Cultural Alignment</title><link>https://tsglab.github.io/publication/rethinking-ai-cultural-alignment/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/rethinking-ai-cultural-alignment/</guid><description/></item><item><title>Towards Interpreting Visual Information Processing in Vision-Language Models</title><link>https://tsglab.github.io/publication/visual-information-processing-vlms/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/visual-information-processing-vlms/</guid><description/></item><item><title>Best-of-N Jailbreaking</title><link>https://tsglab.github.io/publication/best-of-n-jailbreaking/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/best-of-n-jailbreaking/</guid><description/></item><item><title>Interpreting Learned Feedback Patterns in Large Language Models</title><link>https://tsglab.github.io/publication/interpreting-feedback-patterns-llms/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/interpreting-feedback-patterns-llms/</guid><description/></item><item><title>Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions</title><link>https://tsglab.github.io/publication/attention-mlp-interactions/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/attention-mlp-interactions/</guid><description/></item><item><title>Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models</title><link>https://tsglab.github.io/publication/interpretable-sequence-continuation/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/interpretable-sequence-continuation/</guid><description/></item><item><title>Large Language Models Relearn Removed Concepts</title><link>https://tsglab.github.io/publication/llms-relearn-removed-concepts/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/llms-relearn-removed-concepts/</guid><description/></item><item><title>Mechanistic Interpretability Workshop at ICML 2024</title><link>https://tsglab.github.io/publication/mechanistic-interpretability-workshop-icml-2024/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/mechanistic-interpretability-workshop-icml-2024/</guid><description/></item><item><title>Position: Near to Mid-Term Risks and Opportunities of Open-Source Generative AI</title><link>https://tsglab.github.io/publication/open-source-generative-ai-risks/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/open-source-generative-ai-risks/</guid><description/></item><item><title>The Scaling Behavior of Large Language Models</title><link>https://tsglab.github.io/publication/scaling-behavior-llms/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/scaling-behavior-llms/</guid><description/></item><item><title>Visualizing Neural Network Imagination</title><link>https://tsglab.github.io/publication/visualizing-neural-network-imagination/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/visualizing-neural-network-imagination/</guid><description/></item><item><title>Understanding Addition in Transformers</title><link>https://tsglab.github.io/publication/understanding-addition-transformers/</link><pubDate>Wed, 01 May 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/understanding-addition-transformers/</guid><description/></item><item><title>DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models</title><link>https://tsglab.github.io/publication/deepdecipher/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/deepdecipher/</guid><description/></item><item><title>Measuring Value Alignment</title><link>https://tsglab.github.io/publication/measuring-value-alignment/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/measuring-value-alignment/</guid><description/></item><item><title>Detecting Edit Failures in Large Language Models: An Improved Specificity Benchmark</title><link>https://tsglab.github.io/publication/detecting-edit-failures-llms/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/detecting-edit-failures-llms/</guid><description/></item><item><title>The Larger They Are, the Harder They Fail: Language Models Do Not Recognize Identifier Swaps in Python</title><link>https://tsglab.github.io/publication/identifier-swaps-python/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/identifier-swaps-python/</guid><description/></item><item><title>Neuron to Graph: Interpreting Language Model Neurons at Scale</title><link>https://tsglab.github.io/publication/neuron-to-graph/</link><pubDate>Mon, 01 May 2023 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/neuron-to-graph/</guid><description/></item><item><title>System III: Learning with Domain Knowledge for Safety Constraints</title><link>https://tsglab.github.io/publication/system-iii-safety-constraints/</link><pubDate>Thu, 01 Dec 2022 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/system-iii-safety-constraints/</guid><description/></item></channel></rss>