Avishek Anand
5 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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BERTnesia: Investigating the capture and forgetting of knowledge in BERT
2020
Probing complex language models has recently revealed several insights into linguistic and semantic patterns found in the learned representations. In this paper, we probe BERT specifically to understand and measure the relational knowledge it captures. …
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DINE: Dimensional Interpretability of Node Embeddings
2023 · arXiv (Cornell University)
Graphs are ubiquitous due to their flexibility in representing social and technological systems as networks of interacting elements. Graph representation learning methods, such as node embeddings, are powerful approaches to map nodes into a latent …
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Understanding the User: An Intent-Based Ranking Dataset
2024 · arXiv (Cornell University)
As information retrieval systems continue to evolve, accurate evaluation and benchmarking of these systems become pivotal. Web search datasets, such as MS MARCO, primarily provide short keyword queries without accompanying intent or descriptions, posing a …
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EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
2024
Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
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Evaluating List Construction and Temporal Understanding capabilities of Large Language Models
2025 · arXiv (Cornell University)
Large Language Models (LLMs) have demonstrated immense advances in a wide range of natural language tasks. However, these models are susceptible to hallucinations and errors on particularly temporal understanding tasks involving multiple entities in answers. …