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20162026
most citedGemma 3 Technical Report

65 citations · 208 across the 57 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CL2022★ 1 cited

Multilingual Sequence-to-Sequence Models for Hebrew NLP

Matan Eyal, Hila Noga, Roee Aharoni +2

Recent work attributes progress in NLP to large language models (LMs) with increased model size and large quantities of pretraining data. Despite this, current state-of-the-art LMs…

cs.CL2022★ 2 cited

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

Ella Neeman, Roee Aharoni, Or Honovich +3

Question answering models commonly have access to two sources of "knowledge" during inference time: (1) parametric knowledge - the factual knowledge encoded in the model weights, a…

cs.CL2022★ 3 cited

MaXM: Towards Multilingual Visual Question Answering

Soravit Changpinyo, Linting Xue, Michal Yarom +5

Visual Question Answering (VQA) has been primarily studied through the lens of the English language. Yet, tackling VQA in other languages in the same manner would require a conside…

cs.CL2022★ 7 cited

Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning

Deborah Cohen, Moonkyung Ryu, Yinlam Chow +8

Despite recent advances in natural language understanding and generation, and decades of research on the development of conversational bots, building automated agents that can carr…

cs.CL2022

On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method

Zorik Gekhman, Nadav Oved, Orgad Keller +2

Most works on modeling the conversation history in Conversational Question Answering (CQA) report a single main result on a common CQA benchmark. While existing models show impress…

cs.IR2022★ 4 cited

A Dataset for Sentence Retrieval for Open-Ended Dialogues

Itay Harel, Hagai Taitelbaum, Idan Szpektor +1

We address the task of sentence retrieval for open-ended dialogues. The goal is to retrieve sentences from a document corpus that contain information useful for generating the next…

cs.CV2022★ 3 cited

All You May Need for VQA are Image Captions

Soravit Changpinyo, Doron Kukliansky, Idan Szpektor +3

Visual Question Answering (VQA) has benefited from increasingly sophisticated models, but has not enjoyed the same level of engagement in terms of data creation. In this paper, we…

cs.CL2022★ 13 cited

TRUE: Re-evaluating Factual Consistency Evaluation

Or Honovich, Roee Aharoni, Jonathan Herzig +7

Grounded text generation systems often generate text that contains factual inconsistencies, hindering their real-world applicability. Automatic factual consistency evaluation may h…