Research at Algoverse
Learn about our mission, explore our acclaimed conference publications, and delve into past student research papers.
Our Commitment to Quality Research
Algoverse AI Research is dedicated to empowering students to create authentic and impactful AI research. Our distinctive emphasis on quality and process enables our students to produce exceptional research published at leading NLP conferences worldwide. We strive to push the boundaries of large language models (LLMs) on standard benchmarks while pioneering machine learning applications across diverse disciplines. This commitment to innovation and excellence sets us apart from other programs.
Our PhD mentors have extensive experience conducting cutting-edge research at top AI institutions and research labs around the globe. They are deeply invested in each student's project, providing essential mentorship in scoping research proposals, implementing code, and academic writing. Through this guidance, our students are uniquely equipped to produce high-quality research papers and successfully navigate the publication process at prestigious conferences. Past papers of our students have been cited by researchers at OpenAI, Microsoft, Oxford, and University of Washington.
Conference Acceptances
Algoverse research teams have consistently achieved publication success at top AI venues such as NeurIPS, EMNLP, and ACL—conferences that primarily feature work from Ph.D. students and professional researchers at leading industry and academic labs. Acceptance rates at these conferences are typically 30-50% for submissions from established research institutions. Algoverse's research teams have achieved comparable results, reflecting the program's emphasis on rigorous mentorship and independent research quality.
To read more about our research outcomes and conference publications, visit our Research page.
Fall 2024
59%
Acceptance (13 of 22 teams)
Winter 2024
70%
Acceptance (14 of 20 teams)
Spring 2025
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Results Pending
Summer 2025
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Results Pending
Conference Publications
Our NeurIPS Publications
Neural Information Processing Systems (NeurIPS) is widely recognized as the most prestigious conference in artificial intelligence and machine learning. Publications at NeurIPS represent groundbreaking contributions and are commonly associated with leading universities and industry leaders like Google DeepMind. See more at the NeurIPS official website or view its ranking via Google Scholar.
Note for high schoolers: NeurIPS acceptances are significantly more difficult compared to high school science fairs. Less than 0.2% of authors at NeurIPS are high school students.
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behaviour
Accepted to Mech Interp @ NeurIPS 2025 (Spotlight)
San Diego, California, USA
Accepted to UniReps @ NeurIPS 2025 (Oral)
San Diego, California, USA
Authors: Daniel Aarao Reis Arturi, Eric Zhang, Andrew Adrian Ansah
Scratchpad Thinking: Alternation Between Storage and Computation in Latent Reasoning Models
Accepted to Mech Interp @ NeurIPS 2025 (Spotlight)
San Diego, California, USA
Accepted to UniReps @ NeurIPS 2025
San Diego, California, USA
Authors: Sayam Goyal, Brad Peters, María Emilia Granda, Akshath Vijayakumar Narmadha, Dharunish Yugeswardeenoo
WOLF: Werewolf-based Observations for LLM Deception and Falsehoods
Accepted to MTLILM @ NeurIPS 2025 (Spotlight)
San Diego, California, USA
Authors: Mrinal Agarwal, Saad Rana, Theo Sundoro, Hermela Berhe
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI
Accepted to LAW @ NeurIPS 2025
San Diego, California, USA
Authors: Manik Rana, Calissa Man, Jeffrey Paine, Anotida Expected Msiiwa
Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Xirui Huang, Joongho Kim
A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Authors: Claire O'Brien, Jessica Seto, Dristi Roy, Aditya Dwivedi
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Nathan Egbuna, Saatvik Gaur
Automated Generation of Multilingual Jailbreak Prompts
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Authors: Jonathan Ding, Khanak Jain, Dhruv Nair
Cross-Lingual Multimodal Retrieval-Augmented Generation for Open Question Answering in Tamil and Yoruba
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Authors: Mobareji Abejide, Arya Ram
DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code
Accepted to DL4C @ NeurIPS 2025
San Diego, California, USA
Authors: Shriyansh Agrawal, Aidan Lau, Sanyam Shah
Enhancing Rural Autonomous Driving Performance with Diffusion-Augmented Synthetic Datasets
Accepted to UrbanAI @ NeurIPS 2025
San Diego, California, USA
Authors: Siddharth Arun, Trisha Panchangmath, Saanvi Celamkoti, Vayden Wong
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do
Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
Accepted to RegML @ NeurIPS 2025
San Diego, California, USA
Authors: Dillon Mehta, Rishi Malhotra, Adam Zobian, Yong Ying Tan, Samir Chopra, Daniella Rand, Natalie Pang, Abhiram Gudimella, Raghav Thallapragada, Derek Jiu
GUARD: Guiding Unbiased Alignment through Reward Debiasing
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Authors: Advay Samnerkar, Doelle Bhattacharya
LSMAS (LLM Security Modeling via Activation Steering)
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Anthony Kuang, Ahmed Ismail
Modeling and Predicting Multi-Turn Answer Instability in Large Language Models
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Jiahang He, Rishi Ramachandran, Neel Ramachandran, Aryan Katakam
Multi-Turn LLM Systems for Diagnostic Decision-Making: Considerations, Biases, and Challenges
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Sejong Kim, Drona Thoka, Varun Puttagunta, Kaylin Sheng, Mark Li, Adnan Ahmed, THI UYEN HANH LE, Sai Chidvilas Gudiboina, Ali Ugur
Novel Finetuning Strategies for Adapting Biomedical Vision Language Models to Organ-Centered Pathology Microscopy Tasks
Accepted to Imageomics @ NeurIPS 2025
San Diego, California, USA
Authors: Siddharth Venkatesh, Ayman Sheikh, Anne Essien Essien, Pratibh, Rayhan Roswendi, Jeremiah Zhang
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong
Prompting Toxicity: Analyzing Biosafety Risks in Genomic Language Models
Accepted to BioSafe GenAI @ NeurIPS 2025 (
San Diego, California, USA
Authors: Akshay Murthy, Mengmeng Zhang, Shanmukhi Kannamangalam
Scratchpad Thinking: Alternation Between Storage and Computation in Latent Reasoning Models
Accepted to RegML @ NeurIPS 2025
San Diego, California, USA
Authors: Sayam Goyal, Brad Peters, María Emilia Granda, Akshath Vijayakumar Narmadha, dharunish yugeswardeenoo
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Aayush Aluru, Myra N. Malik, Samarth Patankar
StealthEval: A Probe-Rewrite-Evaluate Workflow for Reliable Benchmarks
Accepted to Reliable ML @ NeurIPS 2025
San Diego, California, USA
Accepted to RegML @ NeurIPS 2025
San Diego, California, USA
Authors: Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong
SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive Programming
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Adhyayan Veer Singh, Aaron Shen, Brian Law, Ahmed Ismail
User Confidence-Fueled Stereotypes: Investigating Sycophantic Amplification of Implicit Bias in Language Models
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Hannah You, Daniel Wang, Victor Chan, Mirabel Wang
Weight- and Activation-Based Steering Methods Provide Complementary Control of Biochemical Traits in Protein Language Models
Accepted to BioSafe GenAI @ NeurIPS 2025
San Diego, California, USA
Authors: Armaity Katki, Nathan Choi, Son Sophak Otra
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Nathan Egbuna, Saatvik Gaur
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do
LSMAS (LLM Security Modeling via Activation Steering)
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Anthony Kuang, Ahmed Ismail
Modeling and Predicting Multi-Turn Answer Instability in Large Language Models
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Jiahang He, Rishi Ramachandran, Neel Ramachandran, Aryan Katakam
Multi-Turn LLM Systems for Diagnostic Decision-Making: Considerations, Biases, and Challenges
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Sejong Kim, Drona Thoka, Varun Puttagunta, Kaylin Sheng, Mark Li, Adnan Ahmed, THI UYEN HANH LE, Sai Chidvilas Gudiboina, Ali Ugur
Novel Finetuning Strategies for Adapting Biomedical Vision Language Models to Organ-Centered Pathology Microscopy Tasks
Accepted to Imageomics @ NeurIPS 2025
San Diego, California, USA
Authors: Siddharth Venkatesh, Ayman Sheikh, Anne Essien Essien, Pratibh, Rayhan Roswendi, Jeremiah Zhang
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong
Prompting Toxicity: Analyzing Biosafety Risks in Genomic Language Models
Accepted to BioSafe GenAI @ NeurIPS 2025
San Diego, California, USA
Authors: Akshay Murthy, Mengmeng Zhang, Shanmukhi Kannamangalam
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning
Accepted to MTLILM @ NeurIPS 2025
San Diego, California, USA
Authors: Aayush Aluru, Myra N. Malik, Samarth Patankar
SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive Programming
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Adhyayan Veer Singh, Aaron Shen, Brian Law, Ahmed Ismail
User Confidence-Fueled Stereotypes: Investigating Sycophantic Amplification of Implicit Bias in Language Models
Accepted to LockLLM @ NeurIPS 2025
San Diego, California, USA
Authors: Hannah You, Daniel Wang, Victor Chan, Mirabel Wang
Weight- and Activation-Based Steering Methods Provide Complementary Control of Biochemical Traits in Protein Language Models
Accepted to BioSafe GenAI @ NeurIPS 2025
San Diego, California, USA
Authors: Armaity Katki, Nathan Choi, Son Sophak Otra
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
Accepted to MATH-AI @ NeurIPS 2025
San Diego, California, USA
Authors: Nathan Egbuna, Saatvik Gaur
Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition
Accepted to SpaVLE @ NeurIPS 2025
San Diego, California, USA
Authors: Nicholas Babey, Tiffany Gu, Yiheng Li
MISCHIEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Sagarika Banerjee, Tangatar Madi, Advait Swaminathan, Nguyen Dao Manh Anh
Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact
Accepted to Mech Interp @ NeurIPS 2025
San Diego, California, USA
Authors: Advey Nandan, Cheng-Ting Chou, Amrit Kurakula
What Do Refusal Tokens Learn? Fine-Grained Representations and Evidence for Downstream Steering
Accepted to Mech Interp @ NeurIPS 2025
San Diego, California, USA
Authors: Rishab Alagharu, Ishneet Sukhvinder Singh, Anjali Batta, Jaelyn S. Liang, Shaibi Shamsudeen, Arnav Sheth
When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Accepted to CCFM @ NeurIPS 2025
San Diego, California, USA
Authors: Michael Shihong Zhang, Rishi Adi Ruia, Arnav Kewalram, Saathvik Dharmapuram
A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy
Accepted to CogInterp @ NeurIPS 2025
San Diego, California, USA
Authors: Claire O'Brien, Jessica Seto, Dristi Roy, Aditya Dwivedi
Active Inference Control: Steering, Not Just Scaling, Language Model Reasoning
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Josh Karthikeyan, Kai Fu, Derek Jiu
Adaptive Originality Filtering: Rejection-Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation
Accepted to GenProCC @ NeurIPS 2025
San Diego, California, USA
Authors: Duy Le, Kent Ziti, Evan Girard-Sun
Adversarial Behavior in Research Settings: Conducting Control Evaluations with RE-Bench
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Harini Rajakumar, Vanessa Nwauwa
ASCII-Bench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Kerry Luo, Joshua Peguero, Anvay Patil, Megan Van Overborg, Ryan Sarmiento
Automated Specialization of Stateful Agent Systems
Accepted to SEA @ NeurIPS 2025
San Diego, California, USA
Authors: Myan Vu, Harrish Ayyanar, Pang Jiang, Anwiketh Reddy
Cognitive Behavior Modeling via Activation Steering (CBMAS)
Accepted to CogInterp @ NeurIPS 2025
San Diego, California, USA
Authors: Anthony Kuang, Ayo Akinkugbe, Ahmed Ismail
Confidence-Coverage Gating for Early Exit
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Aaroosh Rustagi, Hsien Xin Peng, Khushal Murthy, Attrey Koul
Cross-Lingual Multimodal Retrieval-Augmented Generation for Open Question Answering in Tamil and Yoruba
Accepted to SPIGM @ NeurIPS 2025
San Diego, California, USA
Authors: Kiran Raja, Mobareji Abejide, Arya Ram, Benjamin Liu
Death by a Thousand Directions: Exploring the Geometry of Harmfulness in LLMs through Subconcept Probing
Accepted to Mech Interp @ NeurIPS 2025
San Diego, California, USA
Authors: Saleena Angeline Sartawita, McNair Shah, Adhitya Rajendra Kumar, Naitik Chheda
DecepBench: Benchmarking Multimodal Deception Detection
Accepted to CogInterp @ NeurIPS 2025
San Diego, California, USA
Accepted to SiCon @ ACL 2025
Vienna, Austria
Authors: Vittesh Maganti, Nysa Lalye, Ethan Braverman
Discovering Transformer Circuits via a Hybrid Attribution and Pruning Framework
Accepted to Mech Interp @ NeurIPS 2025
San Diego, California, USA
Authors: Hao Gu, Vibhas Nair, Amrithaa Ashok Kumar
Don't Think of the White Bear: Ironic Negation in Transformer Models under Cognitive Load
Accepted to CogInterp @ NeurIPS 2025
San Diego, California, USA
Authors: Logan Mann, Sarah Tandon, Chenhao Sun, Savar Toteja
Emotional Framing as a Control Channel: Effects of Prompt Valence on LLM Performance
Accepted to GenProCC @ NeurIPS 2025
San Diego, California, USA
Authors: Enmanuel Felix-Pena, Tiki Li, Ayo Akinkugbe, Wayne Chen, Ethan Hin
Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
Accepted to SEA @ NeurIPS 2025
San Diego, California, USA
Accepted to GenAI4Health @ NeurIPS 2025
San Diego, California, USA
Authors: Benjamin Liu, Dillon Mehta, Rishi Malhotra, Adam Zobian, Yong Ying Tan, Samir Chopra, Daniella Rand, Natalie Pang, Abhiram Gudimella, Raghav Thallapragada, Derek Jiu, Prisha Shah
Extending AutoCompressors via Surprisal-Based Dynamic Segmentation
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Srivishnu Ramamurthi, Richard Xu, Raine Ma, Dawson Park, David Guo
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness
Accepted to FoRLM @ NeurIPS 2025
San Diego, California, USA
Authors: Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen
GASLIGHTBENCH: Quantifying LLM Susceptibility to Social Prompting
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Lening Nick Cui, Sahil Ghosh, Gareth Lee, Xuanzhe Yao, Swarit Srivastava, William H. Logian, Michael Li, Ellie Podoshev
GUARD: Guiding Unbiased Alignment through Reward Debiasing
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Advay Samnerkar, Doelle Bhattacharya, Kailash Ranganathan
Idea: Fairness Constraints as Reliability Guarantees for RLHF Reward Models
Accepted to ARLET @ NeurIPS 2025
San Diego, California, USA
Authors: Advay Samnerkar, Doelle Bhattacharya, Kailash Ranganathan
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Sophie Li, Nicholas Huang, Nina Luo, Vincent Lin
LoRA-Guided PPO for Cost-Aware and Compute-Efficient Agent Orchestration
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Aneesh Durai, Joshua Cong Hu, Kevaan Buch
Mechanistic Interpretability of Semantic Abstraction in Biomedical Texts
Accepted to FM4LS @ NeurIPS 2025
San Diego, California, USA
Authors: Nikhil Gourisetty, Snata Mohanty, Vishnu Srinivas, Soumil Jain, Sunith Vallabhaneni
Mitigating Sycophancy in Language Models via Sparse Activation Fusion and Multi-Layer Activation Steering
Accepted to Mech Interp @ NeurIPS 2025
San Diego, California, USA
Authors: Pyae Phoo Min, Avigya Paudel, Naufal Adityo, Arthur Zhu, Andrew Rufail
Multi-Turn LLM Systems for Diagnostic Decision-Making: Considerations, Biases, and Challenges
Accepted to GenAI4Health @ NeurIPS 2025
San Diego, California, USA
Authors: Benjamin Liu, Sejong Kim, Drona Thoka, Varun Puttagunta, Kaylin Sheng, Mark Li, Adnan Ahmed, Thi Uyen Hanh Le, Sai Chidvilas Gudiboina, Ali Ugur
Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs
Accepted to FoRLM @ NeurIPS 2025
San Diego, California, USA
Authors: Anjana Nair, Yushen Li, Adhitya Rajendra Kumar
Predicting Emergent Software Engineering Capabilities by Fine-tuning
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Authors: Jason Jiyachon, Terry Huang, Henry Velasquez
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness
Accepted to LLM Evaluation @ NeurIPS 2025
San Diego, California, USA
Accepted to ER @ NeurIPS 2025
San Diego, California, USA
Authors: Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
Accepted to CogInterp @ NeurIPS 2025
San Diego, California, USA
Authors: Lang Xiong, Raina Gao, Alyssa Jeong
Translation Bias and Accuracy in Multilingual LLMs for Cross-Language Claim Verification
Accepted to Attribution @ NeurIPS 2024
Vancouver, Canada
Authors: Aryan Singhal, Veronica Shao, Gary Sun, Ryan Ding
QIANets for Reduced Latency and Improved Inference Times in CNN Models
Accepted to Compression @ NeurIPS 2024
Vancouver, Canada
Authors: Zhumazhan Balapanov, Edward Magongo, Vanessa Matvei, Olivia Holmberg
Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
Accepted to MathAI @ NeurIPS 2024
Vancouver, Canada
Authors: Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua
Fine-Tuning Language Models for Ethical Ambiguity
Accepted to SoLaR @ NeurIPS 2024
Vancouver, Canada
Authors: Pranav Senthilkumar, Visshwa Bala, Prisha Jain, Aneesa Maity
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with LLMs
Accepted to SoLaR @ NeurIPS 2024
Vancouver, Canada
Author: William Tan
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using LLMs
Accepted to AIM-FM @ NeurIPS 2024
Vancouver, Canada
Accepted to EMNLP Positive Impact Track 2024
Miami, Florida
Authors: Rajat Rawat, Hudson McBride, Rajarshi Ghosh, Dhiyaan Nirmal, Jong Moon, Dhruv Alamuri
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
Accepted to NeurIPS High School Track 2024
Vancouver, Canada
Accepted to EMNLP Positive Impact Track 2024
Miami, Florida
Authors: Abhay Gupta, Philip Meng, Ece Yurtseven





Paper Citations
Undergraduate research cited by premier institutions is already a rare and exceptional achievement—demonstrating the quality, depth, and real-world impact of our students’ work. But at Algoverse, even high school students regularly earn citations from researchers at top universities and labs—a nearly unheard-of accomplishment in academia. Citations represent more than just recognition; they reflect meaningful contributions to science itself. The fact that our students’ discoveries are informing research conducted by seasoned scholars underscores the extraordinary rigor, originality, and influence of their work.
0
Citations in the past year
Example Citations
PaperBench: Evaluating AI’s Ability to Replicate AI Research.
OpenAI
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
Microsoft, Oxford, University of Washington, others
GPT-4o Reads the Mind in the Eyes
Princeton, MIT, and other universities
Our research has been cited by institutions including, but not limited to:











