Chandan K. Reddy
17 papers · 2017–2026 · 7 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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(102)
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Research topics
Artificial Intelligence
(11)
Natural Language Processing
(10)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(7)
Applications
(7)
Core Methods
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
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(2)
Keywords
large language model
(5)
stereotype detection
(2)
social bia
(2)
question answering
(2)
contrastive learning
(2)
symbolic regression
(2)
generative model
(2)
natural language processing
(1)
multilingual nlp
(1)
ensemble learning
(1)
knowledge distillation
(1)
entity linking
(1)
attention mechanism
(1)
topic modeling
(1)
transfer learning
(1)
entity disambiguation
(1)
multimodal learning
(1)
self-supervised learning
(1)
text summarization
(1)
semantic parsing
(1)
Papers
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
ACL 2026
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
ACL 2026
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
NAACL 2025
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
ICML 2025
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
ICLR 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
ACL 2025
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories
EMNLP 2025
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
ICLR 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
ACL 2024
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
IJCAI 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
AAAI 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
ACL 2023
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
AAAI 2021
LATTE: Latent Type Modeling for Biomedical Entity Linking
AAAI 2020
Question Answering with Long Multiple-Span Answers
EMNLP 2020
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
NAACL 2019
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
IJCAI 2017