Mohammad Aflah Khan

29 papers A* 3A 1B 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fractional Rotation, Full Potential? Investigating Performance and Convergence of Partial RoPE. CoRR Mohammad Aflah Khan, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander
2026	J	`jnl`	In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations. CoRR Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander
2025	J	`jnl`	Hubble: a Model Suite to Advance the Study of LLM Memorization. CoRR Johnny Tian-Zheng Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	B	`conf`	QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs. COLING Mohammad Aflah Khan, Neemesh Yadav, Sarah Masud, Md. Shad Akhtar
2025	A*	`conf`	Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon. ICLR USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S. V, Mohammad Aflah Khan, Jaydeep Borkar, Christopher A. Choquette-Choo, Jacob Ray Fuehne, Stella Biderman, Tracy Ke, Katherine Lee, Naomi Saphra
2025	J	`jnl`	Rethinking Memorization Measures and their Implications in Large Language Models. CoRR Bishwamittra Ghosh, Soumi Das, Qinyuan Wu, Mohammad Aflah Khan, Krishna P. Gummadi, Evimaria Terzi, Deepak Garg
2025	J	`jnl`	Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models. CoRR Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi
2025	J	`jnl`	Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs. CoRR Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar
2025	—	`conf`	TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. EMNLP (System Demonstrations) Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Yixiang Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	J	`jnl`	TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. CoRR Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	A	`conf`	Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. WSDM Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024	—	`conf`	Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. EACL (Findings) Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty
2024	J	`jnl`	Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. CoRR Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty
2024	J	`jnl`	QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs. CoRR Mohammad Aflah Khan, Neemesh Yadav, Sarah Masud, Md. Shad Akhtar
2024	J	`jnl`	Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon. CoRR USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S. V, Mohammad Aflah Khan, Jaydeep Borkar, Christopher A. Choquette-Choo, Jacob Ray Fuehne, Stella Biderman, Tracy Ke, Katherine Lee, Naomi Saphra
2024	—	`conf`	The Duality of Hope: A Critical Examination of Controversial Annotations in HopeEDI. Tiny Papers @ ICLR Mohammad Aflah Khan, Neemesh Yadav, Diksha Sethi, Raghav Sahni
2024	J	`jnl`	Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024	J	`jnl`	Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
2023	—	`conf`	Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection. Tiny Papers @ ICLR Neemesh Yadav, Mohammad Aflah Khan, Diksha Sethi, Raghav Sahni
2023	J	`jnl`	Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection. CoRR Neemesh Yadav, Mohammad Aflah Khan, Diksha Sethi, Raghav Sahni
2023	—	`conf`	Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. FIRE (Working Notes) Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty
2023	J	`jnl`	Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. CoRR Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty
2023	—	`conf`	Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech. FIRE Shrey Satapara, Sarah Masud, Hiren Madhu, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty, Sandip Modha, Thomas Mandl
2023	A*	`conf`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. ICML Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal
2023	J	`jnl`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. CoRR Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal
2023	—	`conf`	The Art of Embedding Fusion: Optimizing Hate Speech Detection. Tiny Papers @ ICLR Mohammad Aflah Khan, Neemesh Yadav, Mohit Jain, Sanyam Goyal
2023	J	`jnl`	The Art of Embedding Fusion: Optimizing Hate Speech Detection. CoRR Mohammad Aflah Khan, Neemesh Yadav, Mohit Jain, Sanyam Goyal
2022	A*	`conf`	Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. KDD Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty
2022	J	`jnl`	Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. CoRR Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty