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20212026
most citedData-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks

14 citations · 18 across the 13 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024

Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QA

George Arthur Baker, Ankush Raut, Sagi Shaier +2

Previous work finds that recent long-context language models fail to make equal use of information in the middle of their inputs, preferring pieces of information located at the ta…

cs.CL2024

MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset

Sagi Shaier, George Arthur Baker, Chiranthan Sridhar +2

Language models (LMs) have excelled in various broad domains. However, to ensure their safe and effective integration into real-world educational settings, they must demonstrate pr…

cs.CL2024★ 2 cited

Asking Again and Again: Exploring LLM Robustness to Repeated Questions

Sagi Shaier, Mario Sanz-Guerrero, Katharina von der Wense

This study investigates whether repeating questions within prompts influences the performance of large language models (LLMs). We hypothesize that reiterating a question within a s…

cs.CL2024★ 1 cited

Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations

Sagi Shaier, Ari Kobren, Philip Ogren

Resolving knowledge conflicts is a crucial challenge in Question Answering (QA) tasks, as the internet contains numerous conflicting facts and opinions. While some research has mad…

cs.LG2024

More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing

Sagi Shaier, Francisco Pereira, Katharina von der Wense +2

The evolution of biological neural systems has led to both modularity and sparse coding, which enables energy efficiency and robustness across the diversity of tasks in the lifespa…

cs.CL2024

It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension

Sagi Shaier, Lawrence E Hunter, Katharina von der Wense

Natural language processing has seen rapid progress over the past decade. Due to the speed of developments, some practices get established without proper evaluation. Considering on…

cs.CL2024★ 1 cited

Comparing Template-based and Template-free Language Model Probing

Sagi Shaier, Kevin Bennett, Lawrence E Hunter +1

The differences between cloze-task language model (LM) probing with 1) expert-made templates and 2) naturally-occurring text have often been overlooked. Here, we evaluate 16 differ…

cs.CL2024

Desiderata for the Context Use of Question Answering Systems

Sagi Shaier, Lawrence E Hunter, Katharina von der Wense

Prior work has uncovered a set of common problems in state-of-the-art context-based question answering (QA) systems: a lack of attention to the context when the latter conflicts wi…