Hritik Bansal
22 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (60) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Mega-Team Β· Legion
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Pioneer
ποΈ
Keyword Collector
(121)
β
The Questioner
(2)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(15)
Core AI
(15)
Deep Learning
(13)
Natural Language Processing
(11)
Learning Types Β· Machine Learning
(9)
Application Areas
(8)
Learning Types Β· Deep Learning
(7)
Models
(7)
Resources & Methods
(7)
Optimization & Theory Β· Machine Learning
(5)
Computer Vision
(4)
Architectures
(3)
Generation
(3)
Optimization & Theory Β· Deep Learning
(3)
Keywords
large language model
(7)
multimodal learning
(3)
vision-language model
(3)
benchmark evaluation
(2)
chain-of-thought reasoning
(2)
representation learning
(2)
weather forecasting
(2)
contrastive learning
(2)
zero-shot learning
(2)
data curation
(2)
model scaling
(2)
knowledge editing
(1)
knowledge distillation
(1)
in-context learning
(1)
direct preference optimization
(1)
reward modeling
(1)
mathematical reasoning
(1)
commonsense knowledge
(1)
motion synthesis
(1)
prompt engineering
(1)
Papers
HoneyBee: Data Recipes for Vision-Language Reasoners
CVPR 2026
BIG-Bench Extra Hard
ACL 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
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
ICLR 2025
VideoPhy: Evaluating Physical Commonsense for Video Generation
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
NeurIPS 2024
Improving Event Definition Following For Zero-Shot Event Detection
ACL 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
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
NeurIPS 2024
VideoCon: Robust Video-Language Alignment via Contrast Captions
CVPR 2024
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
ICCV 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
NeurIPS 2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
EMNLP 2023
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
ACL 2023
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
NeurIPS 2023
CyCLIP: Cyclic Contrastive Language-Image Pretraining
NeurIPS 2022
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
EMNLP 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
EMNLP 2022
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
ACL 2020