15 citations · 31 across the 15 of their papers we have counts for
5 papers · 1 filter
Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation
Jesse St. Amand, Callum Canavan, Sohaib Imran +5
Self-Generated Text Recognition (SGTR)--the ability of an LLM to identify its own outputs--poses risks to AI safeguards that rely on LLMs as evaluators or monitors: an LLM may reco…
What are Key Factors for Updates in RL for LLM Reasoning?
Peidong Wang, Demi Wang, Xufang Luo +5
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a promising framework for enhancing the reasoning ability of large language models. However, much of the existi…
Building Comparative Motivation Profiles with Instrumental Interventions
David Vella Zarb, Rustem Turtayev, Taywon Min +2
Safety evaluations often infer latent motivations from behavioral patterns, but the construct validity of these inferences is unclear. We study this problem in alignment faking, wh…
Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment
Arush Tagade, Shaoheng Zhou, Jiaxin Wen +1
Emergent misalignment (EM) has been linked to the activation of misaligned persona vectors and evil character traits, suggesting that EM operates through disruption of the model's…
Self-Improvement as Coherence Optimization: A Theoretical Account
Tianyi Qiu, Ahmed Hani Ismail, Zhonghao He +1
Can language models improve their accuracy without external supervision? Methods such as debate, bootstrap, and internal coherence maximization achieve this surprising feat, even m…