Hritik Bansal
21 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
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Century Club
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Conferences
ACL (5)
ICLR (5)
NIPS (5)
EMNLP (3)
CVPR (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
large language model
(6)
weather forecasting
(2)
vision-language model
(2)
model scaling
(2)
representation learning
(2)
multimodal learning
(2)
contrastive learning
(2)
data curation
(2)
zero-shot learning
(2)
image generation
(1)
prompt engineering
(1)
cross-lingual transfer
(1)
commonsense knowledge
(1)
language modeling
(1)
benchmark evaluation
(1)
in-context learning
(1)
text-to-image generation
(1)
knowledge editing
(1)
language model evaluation
(1)
knowledge probing
(1)
Papers
VideoPhy: Evaluating Physical Commonsense for Video Generation
ICLR 2025
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization
ACL 2025
Generative Verifiers: Reward Modeling as Next-Token Prediction
ICLR 2025
BIG-Bench Extra Hard
ACL 2025
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
ICLR 2025
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
ICML 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
NIPS 2024
Improving Event Definition Following For Zero-Shot Event Detection
ACL 2024
VideoCon: Robust Video-Language Alignment via Contrast Captions
CVPR 2024
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
ICLR 2024
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
ICLR 2024
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
NIPS 2023
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
ACL 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
ICCV 2023
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
NIPS 2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
EMNLP 2023
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
EMNLP 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
NIPS 2022
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
EMNLP 2022
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
ACL 2020