6 citations · 9 across the 11 of their papers we have counts for
11 papers
Fireworks at Cosmic Dawn: relieving BAO-CMB tensions with the Pop III.1 Flash
Yash Aggarwal, Christopher Cain, Garett Lopez +4
A Cosmic Microwave Background (CMB) optical depth of , several in excess of the latest Planck low- EE polarization measurement, has been proposed as a way to…
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability
Yash Aggarwal, Atmika Gorti, Vinija Jain +3
Large language models (LLMs) are increasingly deployed in settings that require nuanced ethical reasoning, yet existing bias evaluations treat model outputs as simply "biased" or "…
Temporal Dependencies in In-Context Learning: The Role of Induction Heads
Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini +3
Large language models (LLMs) exhibit strong in-context learning capabilities, but how they track and retrieve information from context remains underexplored. Drawing on the free re…
Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models
Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini +2
In-context learning is governed by both temporal and semantic relationships, shaping how Large Language Models (LLMs) retrieve contextual information. Analogous to human episodic m…
On the origins, growth, and radiative efficiency of J0529-4351, reportedly the fastest-growing known black hole
Yash Aggarwal
SMSS J0521-4351 is reportedly the most luminous quasar known to date, and assuming a mean radiative efficiency of 0.1, it is inferred to be the fastest-growing black hole, accretin…
Direct Collapse Black Hole Candidates from Decaying Dark Matter
Yash Aggarwal, James B. Dent, Philip Tanedo +1
Injecting 1-13.6 eV photons into the early universe can suppress the molecular hydrogen abundance and alter the star formation history dramatically enough to produce direct collaps…
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training
Deven Mahesh Mistry, Anooshka Bajaj, Yash Aggarwal +2
We investigate in-context temporal biases in attention heads and transformer outputs. Using cognitive science methodologies, we analyze attention scores and outputs of the GPT-2 mo…
Evidence that Eddington ratio depends upon a supermassive black hole's mass and redshift: Implications for radiative efficiency
Yash Aggarwal
Presently, it is unclear whether the Eddington ratio and radiative efficiency depend upon a supermassive black hole's (SMBH's) redshift z and mass MBH. We attempt to resolve this i…
Accretion rates and radiative efficiencies of Sagittarius A* and nearby supermassive black holes estimated using empirical relations: Implications for accretion models
Yash Aggarwal
The Bondi accretion rate of black holes in our and nearby galaxies Messier 87, NGC 3115, NGC 1600, and Cygnus A have been determined or constrained using Chandra or other observati…
Comparative tests of accretion rates of quasars derived using a new empirical and an existing theoretical relation: Insights into black hole properties and growth
Yash Aggarwal
A scaling relation based on thin-disc accretion theory has been used by some workers to determine the mass-inflow rate onto 20 high-redshift (z) and 80 Palomar-Green quasars. Based…
Deciphering the origins and growth of supermassive black holes
Yash Aggarwal
We present a well-tested, theoretically supported empirical relation that helps decipher the origins, growth, and properties of SMBHs (supermassive black holes). Based on theoretic…