6 citations · 11 across the 3 of their papers we have counts for
7 papers · 1 filter
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Yuval Reif, Roy Schwartz
Large language models (LLMs) have shown remarkable adaptability to diverse tasks, by leveraging context prompts containing instructions, or minimal input-output examples. However,…
Constructing Flow Graphs from Procedural Cybersecurity Texts
Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee +3
Following procedural texts written in natural languages is challenging. We must read the whole text to identify the relevant information or identify the instruction flows to comple…
Can Transformers Reason About Effects of Actions?
Pratyay Banerjee, Chitta Baral, Man Luo +4
A recent work has shown that transformers are able to "reason" with facts and rules in a limited setting where the rules are natural language expressions of conjunctions of conditi…
Natural Language QA Approaches using Reasoning with External Knowledge
Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal +1
Question answering (QA) in natural language (NL) has been an important aspect of AI from its early days. Winograd's ``councilmen'' example in his 1972 paper and McCarthy's Mr. Hug…
Knowledge Guided Named Entity Recognition for BioMedical Text
Pratyay Banerjee, Kuntal Kumar Pal, Murthy Devarakonda +1
In this work, we formulate the NER task as a multi-answer knowledge guided QA task (KGQA) which helps to predict entities only by assigning B, I and O tags without associating enti…
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?
Arindam Mitra, Pratyay Banerjee, Kuntal Kumar Pal +2
Recently several datasets have been proposed to encourage research in Question Answering domains where commonsense knowledge is expected to play an important role. Recent language…