activity
20182026
most citedM3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

3 citations · 3 across the 5 of their papers we have counts for

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Showing cs.CLShow all

9 papers · 1 filter

cs.CL2025

Improving Instruct Models for Free: A Study on Partial Adaptation

Ozan İrsoy, Pengxiang Cheng, Jennifer L. Chen +3

Instruct models, obtained from various instruction tuning or post-training steps, are commonly deemed superior and more usable than their base counterpart. While the model gains in…

cs.CL2023

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies

Shiyue Zhang, Shijie Wu, Ozan Irsoy +4

Autoregressive language models are trained by minimizing the cross-entropy of the model distribution Q relative to the data distribution P -- that is, minimizing the forward cross-…

cs.CL2021

Disentangling Online Chats with DAG-Structured LSTMs

Duccio Pappadopulo, Lisa Bauer, Marco Farina +2

Many modern messaging systems allow fast and synchronous textual communication among many users. The resulting sequence of messages hides a more complicated structure in which inde…

cs.CL2021

Diversity-Aware Batch Active Learning for Dependency Parsing

Tianze Shi, Adrian Benton, Igor Malioutov +1

While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contri…

cs.CL2021

Learning Syntax from Naturally-Occurring Bracketings

Tianze Shi, Ozan İrsoy, Igor Malioutov +1

Naturally-occurring bracketings, such as answer fragments to natural language questions and hyperlinks on webpages, can reflect human syntactic intuition regarding phrasal boundari…

cs.CL2020

Corrected CBOW Performs as well as Skip-gram

Ozan İrsoy, Adrian Benton, Karl Stratos

Mikolov et al. (2013a) observed that continuous bag-of-words (CBOW) word embeddings tend to underperform Skip-gram (SG) embeddings, and this finding has been reported in subsequent…