Khyathi Chandu
30 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
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Cross-Pollinator
(6)
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Renaissance Researcher
(8)
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Taxonomy Completionist
(54)
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Mega-Team
(60)
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Dynamic Duo
(14)
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Keyword Collector
(129)
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The Questioner
(2)
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Century Club
(30)
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Trend Setter
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Prolific Year
(5)
Conferences
ACL (11)
EMNLP (6)
ICLR (5)
NIPS (4)
NAACL (3)
CVPR (1)
Top co-authors
Keywords
large language model
(5)
language model
(4)
question answering
(4)
knowledge distillation
(3)
neural network
(2)
data curation
(2)
vision-language model
(2)
language modeling
(2)
biomedical question answering
(2)
natural language inference
(2)
abstractive summarization
(2)
in-context learning
(2)
instruction tuning
(2)
extractive summarization
(2)
visual reasoning
(2)
language agent
(2)
natural language processing
(1)
multilingual nlp
(1)
few-shot learning
(1)
continual learning
(1)
Papers
RewardBench: Evaluating Reward Models for Language Modeling
NAACL 2025
Synthetic Visual Genome
CVPR 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
ICLR 2025
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
ICLR 2025
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
ICLR 2025
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
NAACL 2025
The Generative AI Paradox: “What It Can Create, It May Not Understand”
ICLR 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
ACL 2024
Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning
ACL 2024
On the Role of Summary Content Units in Text Summarization Evaluation
NAACL 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
ICLR 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NIPS 2024
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
ACL 2024
Continual Dialogue State Tracking via Example-Guided Question Answering
EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
NIPS 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
NIPS 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
Storyboarding of Recipes: Grounded Contextual Generation
ACL 2019
“My Way of Telling a Story”: Persona based Grounded Story Generation
ACL 2019
Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques
ACL 2018
Tackling Code-Switched NER: Participation of CMU
ACL 2018
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions
EMNLP 2018
Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation
EMNLP 2018
Comparative Analysis of Neural QA models on SQuAD
ACL 2018
Language Informed Modeling of Code-Switched Text
ACL 2018