activity
20152025
most citedBig Bird: Transformers for Longer Sequences

269 citations · 646 across the 18 of their papers we have counts for

collaborators

22 papers

cs.CL2025★ 49 cited

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.CL2025★ 2 cited

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Bang An, Shiyue Zhang, Mark Dredze

Efforts to ensure the safety of large language models (LLMs) include safety fine-tuning, evaluation, and red teaming. However, despite the widespread use of the Retrieval-Augmented…

cs.CL2025★ 3 cited

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Alon Jacovi, Andrew Wang, Chris Alberti +23

We introduce FACTS Grounding, an online leaderboard and associated benchmark that evaluates language models' ability to generate text that is factually accurate with respect to giv…

cs.CL2024★ 1 cited

DOLOMITES: Domain-Specific Long-Form Methodical Tasks

Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev +7

Experts in various fields routinely perform methodical writing tasks to plan, organize, and report their work. From a clinician writing a differential diagnosis for a patient, to a…

cs.CL2023

PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge

Fantine Huot, Joshua Maynez, Chris Alberti +5

Cross-lingual summarization consists of generating a summary in one language given an input document in a different language, allowing for the dissemination of relevant content acr…

cs.CL2022★ 3 cited

Coreference Resolution through a seq2seq Transition-Based System

Bernd Bohnet, Chris Alberti, Michael Collins

Most recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution syste…