PinnedNeeraj VarshneyThe Hallucination Problem of Large Language ModelsHallucination in the context of language models refers to the generation of text or responses that seem syntactically sound, fluent, and…9 min read·Aug 20, 2023----
PinnedNeeraj VarshneyinAnalytics VidhyaA Primer on Open-Domain Question Answering (ODQA) — Part 1·10 min read·Jul 23, 2022----
PinnedNeeraj VarshneyinAnalytics VidhyaOut-of-Distribution Detection in Deep Neural NetworksMaking AI systems Robust and Reliable·11 min read·Dec 25, 2020----
Neeraj VarshneyinBecoming Human: Artificial Intelligence MagazineLLM Defense StrategiesTowards Improving the Safety of LLMs11 min read·Jan 3, 2024----
Neeraj VarshneySelective Prediction in Natural Language ProcessingImproving Reliability of NLP Systems6 min read·Sep 11, 2022----
Neeraj VarshneyLet the Model Decide its Curriculum for Multitask LearningTo appear in the third edition of the workshop Deep Learning for Low Resource NLP @ NAACL 2022.3 min read·May 30, 2022----
Neeraj VarshneyILDAE: Instance-Level Difficulty Analysis of Evaluation DataTo appear in ACL 2022.3 min read·May 6, 2022----
Neeraj VarshneyUnsupervised Natural Language Inference Using PHL Triplet GenerationTo appear in the Findings of ACL 2022.6 min read·May 1, 2022----
Neeraj VarshneyinAnalytics VidhyaA Primer on Knowledge Distillation in NLP — Part 1Teacher Student Networks·4 min read·Dec 22, 2021--1--1
Neeraj VarshneyCan We Predict Performance of an NLP Model without Actually Training or Testing it?An Alternative to Exhaustive Testing·7 min read·Feb 25, 2021----
