影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
91.44/100
前 0.5%
全站排名 #305
发表论文34 篇
平均评分
年均产出11.3 篇/年
Thomas L. Griffiths
研究方向
Cognitive science · Computational models of cognition · Nonparametric Bayes · Topic models · Computational social science
13
Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL
ICLR 2026Poster
14
An evolutionary perspective on modes of learning in Transformers
ICLR 2026Poster
二作19
Toward Efficient Exploration by Large Language Model Agents
ICLR 2026Poster
二作17
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
ICLR 2026Rejected
通讯19
Assessing the Reverse-Engineering Abilities of Large Language Models
ICLR 2026Rejected
通讯17
Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
ICLR 2026Poster
通讯13
Visual serial processing deficits explain divergences in human and VLM reasoning
ICLR 2026Desk Rejected
通讯13
Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
ICLR 2026Rejected
三作21
Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
ICLR 2026Withdrawn
25
Evaluating Language Models' Evaluations of Games
ICLR 2026Poster
通讯14
Learning is Forgetting; LLM Training As Lossy Compression
ICLR 2026Poster
12
Accumulating Context Changes the Beliefs of Language Models
ICLR 2026Rejected
通讯11
VideoGameBench: Can Vision-Language Models complete popular video games?
ICLR 2026Desk Rejected
二作6
Automating Meta-learning by Learning to Map Task Distributions to Initial Weights
ICLR 2026Rejected
二作11
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models
ICLR 2026Rejected
三作11
Conformal Prediction as Bayesian Quadrature
ICML 2025Oral
二作18
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
NeurIPS 2025Poster
19
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
ICLR 2025Poster
三作29
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers
NeurIPS 2025Poster
26
Are Large Language Models Sensitive to the Motives Behind Communication?
NeurIPS 2025Poster
通讯24
Large Language Models Assume People are More Rational than We Really are
ICLR 2025Poster
通讯27
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
ICLR 2025Rejected
11
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
ICML 2025Poster
通讯18
Rational Metareasoning for Large Language Models
ICLR 2025Rejected
三作27
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
ICLR 2025Rejected
通讯6
Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases
ICLR 2025Withdrawn
通讯