---
title: "Aman Chadha — papers of 2026 — 3 papers, the most cited first"
description: "Aman Chadha — papers of 2026: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Aman Chadha — papers of 2026 — 3 papers, the most cited first

3 papers · [all years of Aman Chadha](https://md.research.elamur.ai/free/en/authors/aman-chadha/#years)

**[Can Large Language Models Infer Causal Relationships from Real-World Text?](https://md.research.elamur.ai/free/en/papers/saklad-2026-can-large-language-models-infer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryan Saklad, Aman Chadha, Oleg V. Pavlov, et al.*2026 · 2 citations*

**[Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States](https://md.research.elamur.ai/free/en/papers/sahoo-2026-linear-probes-detect-task-format/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Subramanyam Sahoo, Vinija Jain, Aman Chadha, et al.*2026*

**[Position: A Semiotic-Hermeneutic Approach to Evaluating Meaning in LLM Summaries via the Inductive Conceptual Rating Metric](https://md.research.elamur.ai/free/en/papers/perez-2026-position-semiotic-hermeneutic-approach-evaluating/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Natalie Perez, Sreyoshi Bhaduri, Aman Chadha*2026*