activity
20232026
most citedUniversal Self-Consistency for Large Language Model Generation

10 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026★ 3 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

q-bio.OT2025

Open problems in ageing science: A roadmap for biogerontology

Angelo Talay, Aleksey V. Belikov, Paul Ka Po To +27

The field of ageing science has gone through remarkable progress in recent decades, yet many fundamental questions remain unanswered or unexplored. Here we present a curated list o…

cs.CL2024★ 1 cited

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

Angana Borah, Rada Mihalcea

As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…

cs.LG2024★ 4 cited

Transformers Can Achieve Length Generalization But Not Robustly

Yongchao Zhou, Uri Alon, Xinyun Chen +3

Length generalization, defined as the ability to extrapolate from shorter training sequences to longer test ones, is a significant challenge for language models. This issue persist…

cs.CL2023★ 10 cited

Universal Self-Consistency for Large Language Model Generation

Xinyun Chen, Renat Aksitov, Uri Alon +7

Self-consistency with chain-of-thought prompting (CoT) has demonstrated remarkable performance gains on various challenging tasks, by utilizing multiple reasoning paths sampled fro…