Rishabh Bhardwaj
16 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Cross-Pollinator (9) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (6) π Renaissance Researcher (7)
π
Academic Marathon
(6)
πΊοΈ
Taxonomy Completionist
(47)
π£
Hot Topic Early Bird
π₯
Mega-Team
(35)
π€
Dynamic Duo
(14)
π
Keyword Champion
β
The Questioner
π
Century Club
(16)
ποΈ
Keyword Collector
(86)
π₯
Unstoppable
(5)
Conferences
EMNLP (6)
ACL (5)
COLING (2)
ICLR (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
language model
(4)
text classification
(3)
knowledge distillation
(3)
domain adaptation
(3)
large language model
(2)
attention weight
(2)
semi-parametric model
(2)
ai safety
(1)
responsible ai
(1)
text generation
(1)
model safety
(1)
natural language understanding
(1)
model merging
(1)
semantic knowledge
(1)
optimal transport
(1)
safety alignment
(1)
model interpretability
(1)
content moderation
(1)
network analysis
(1)
parameter-efficient transfer learning
(1)
Papers
Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite?
EMNLP 2025
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
ICLR 2025
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
NAACL 2025
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
EMNLP 2025
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
EMNLP 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
ACL 2024
HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks
COLING 2024
Adapter Pruning using Tropical Characterization
EMNLP 2023
Adaptation Approaches for Nearest Neighbor Language Models
ACL 2023
A Robust Information-Masking Approach for Domain Counterfactual Generation
ACL 2023
kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers
EMNLP 2023
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
EMNLP 2022
KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks
COLING 2022
More Identifiable yet Equally Performant Transformers for Text Classification
IJCNLP 2021
More Identifiable yet Equally Performant Transformers for Text Classification
ACL 2021
Twitter Homophily: Network Based Prediction of Userβs Occupation
ACL 2019