Aaron Mueller
Biographic Data
| ID | 6536770 |
|---|---|
| NAME | Aaron Mueller |
| GIVEN NAMES | Aaron |
| FAMILY NAME | Mueller |
| SIGNATURE | MUELLER A |
| AFFILIATIONS | Boston University. [email protected] |
| ORCID | 0009-0005-1148-5001 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Bigger is not always better
When trained to place high probability on a training corpus, neural network language models can learn a surprising amount about language. Recent work has demonstrated that large performance improvements can arise from simply increasing, i.e., scaling, the size of the corpora they are trained on and the number of parameters in those models. Accordingly, many contemporary systems are trained on trillions of words. While largely beneficial to perfor…
The Quest for the Right Mediator
Interpretability provides a toolset for understanding how and why language models behave in certain ways. However, there is little unity in the field: Most studies use ad-hoc evaluations and do not share theoretical foundations, making it difficult to measure progress and compare the pros and cons of different techniques. Furthermore, while mechanistic understanding is frequently discussed, the basic causal units underlying these mechanisms are o…
No prominent works on this page.
Bigger is not always better
When trained to place high probability on a training corpus, neural network language models can learn a surprising amount about language. Recent work has demonstrated that large performance improvements can arise from simply increasing, i.e., scaling, the size of the corpora they are trained on and the number of parameters in those models. Accordingly, many contemporary systems are trained on trillions of words. While largely beneficial to perfor…
The Quest for the Right Mediator
Interpretability provides a toolset for understanding how and why language models behave in certain ways. However, there is little unity in the field: Most studies use ad-hoc evaluations and do not share theoretical foundations, making it difficult to measure progress and compare the pros and cons of different techniques. Furthermore, while mechanistic understanding is frequently discussed, the basic causal units underlying these mechanisms are o…
Topic Modeling (2 works) · Causal chain (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Cognitive science (1 work) · Framing (construction (1 work) · Interpretability (1 work) · Linguistics (1 work) · Mediation (1 work) · Multi-Agent Systems and Negotiation (1 work)