most citedFuture of Information Retrieval Research in the Age of Generative AI

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

PropMEND: Hypernetworks for Knowledge Propagation in LLMs

Zeyu Leo Liu, Greg Durrett, Eunsol Choi

Knowledge editing techniques for large language models (LLMs) can inject knowledge that is later reproducible verbatim, but they fall short on propagating that knowledge: models ca…

cs.CL2025

Learning to Reason Across Parallel Samples for LLM Reasoning

Jianing Qi, Xi Ye, Hao Tang +2

Scaling test-time compute brings substantial performance gains for large language models (LLMs). By sampling multiple answers and heuristically aggregate their answers (e.g., eithe…

cs.IR2024★ 3 cited

Future of Information Retrieval Research in the Age of Generative AI

James Allan, Eunsol Choi, Daniel P. Lopresti +1

In the fast-evolving field of information retrieval (IR), the integration of generative AI technologies such as large language models (LLMs) is transforming how users search for an…

cs.CL2024★ 2 cited

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

Zeyu Leo Liu, Shrey Pandit, Xi Ye +2

Large language models (LLMs) are increasingly being used to synthesize and reason about source code. However, the static nature of these models' knowledge does not reflect the fact…

cs.CL2024★ 1 cited

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

Thom Lake, Eunsol Choi, Greg Durrett

The alignment process changes several properties of a large language model's (LLM's) output distribution. We analyze two aspects of post-alignment distributional shift of LLM respo…

cs.HC2024

DinAR: Augmenting Reality for Sustainable Dining

MJ Johns, Eunsol Sol Choi, Derusha Baskaran

Sustainable food is among the many challenges associated with climate change. The resources required to grow or gather the food and the distance it travels to reach the consumer ar…

cs.CL2024

AmbigDocs: Reasoning across Documents on Different Entities under the Same Name

Yoonsang Lee, Xi Ye, Eunsol Choi

Different entities with the same name can be difficult to distinguish. Handling confusing entity mentions is a crucial skill for language models (LMs). For example, given the quest…