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Papers
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
AAAI 2026
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
ACL 2025
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
SemEval 2025
To Code or Not To Code? Exploring Impact of Code in Pre-training
ICLR 2025
Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems
ACL 2025
Are Language Models Actually Useful for Time Series Forecasting?
NeurIPS 2024
Unified Examination of Entity Linking in Absence of Candidate Sets
NAACL 2024
Break It Down: Evidence for Structural Compositionality in Neural Networks
NeurIPS 2023
On “Scientific Debt” in NLP: A Case for More Rigour in Language Model Pre-Training Research
ACL 2023
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models
Interspeech 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
SemEval 2021
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
AAAI 2020
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study
WACV 2020
NAS evaluation is frustratingly hard
ICLR 2020
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
EMNLP 2019
Investigating Human Priors for Playing Video Games
ICML 2018
Revisiting the Hierarchical Multiscale LSTM
COLING 2018