8 papers · 1 filter
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…
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…
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…
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…
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…
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…