Robert Kirk
9 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 👑 Triple Crown 🏆 Grand Slam
⚡
Prolific Year · Productive
❓
The Questioner
Venues
Top co-authors
Research topics
Keywords
large language model
(2)
reinforcement learning from human feedback
(2)
network pruning
(1)
model interpretability
(1)
proximal policy optimization
(1)
bradley-terry model
(1)
heavy-tailed distribution
(1)
steering vector
(1)
language model
(1)
supervised fine-tuning
(1)
adversarial attack
(1)
task diversity
(1)
mechanistic interpretability
(1)
best-of-n sampling
(1)
out-of-distribution generalization
(1)
few-shot prompting
(1)
procedural knowledge
(1)
inference-time intervention
(1)
dataset diversity
(1)
in-context learning
(1)
Papers
STACK: Adversarial Attacks on LLM Safeguard Pipelines
AAAI 2026
How Do Large Language Monkeys Get Their Power (Laws)?
ICML 2025
Investigating Non-Transitivity in LLM-as-a-Judge
ICML 2025
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
ICLR 2025
Analysing the Generalisation and Reliability of Steering Vectors
NeurIPS 2024
Generalization to New Sequential Decision Making Tasks with In-Context Learning
ICML 2024
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
ICLR 2024
Reward Model Ensembles Help Mitigate Overoptimization
ICLR 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
ICLR 2024