Jayanth Srinivasa
20 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (37) π Interdisciplinary Bridge π§ Keyword Pioneer
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Triple Crown
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Keyword Collector
(84)
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Prolific Year
(7)
π
Century Club
(19)
β
The Questioner
Conferences
EMNLP (5)
ACL (4)
ICML (3)
NIPS (3)
AACL (1)
COLING (1)
ICLR (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(6)
adversarial attack
(4)
large reasoning model
(3)
question answering
(2)
tool use
(2)
safety assessment
(2)
knowledge base
(2)
prompt injection
(2)
text classification
(1)
model security
(1)
zero-shot learning
(1)
semantic parsing
(1)
multi-label classification
(1)
instruction following
(1)
entity linking
(1)
graph representation learning
(1)
adversarial robustness
(1)
ai safety
(1)
deep learning
(1)
attention mechanism
(1)
Papers
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
EMNLP 2025
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
AACL 2025
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
EMNLP 2025
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
EMNLP 2025
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
ICML 2025
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
IJCNLP 2025
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
NAACL 2025
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks
COLING 2024
Open-world Multi-label Text Classification with Extremely Weak Supervision
EMNLP 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
NIPS 2024
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
ACL 2024
Argument-Aware Approach To Event Linking
ACL 2024
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
EMNLP 2024
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
ICML 2024
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
ICLR 2024
A Unified Detection Framework for Inference-Stage Backdoor Defenses
NIPS 2023
Text-to-SQL Error Correction with Language Models of Code
ACL 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NIPS 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis
ICML 2023