← Authors

Ramesh Nallapati

42 papers · 2003–2024 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (78) 🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (21) πŸ‘₯ Mega-Team (25) πŸ† Grand Slam 🀝 Dynamic Duo (31) 🧬 Topic Evolution πŸ’Ž Century Club (42) πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (151) πŸ”₯ Unstoppable (7)

Conferences

ACL (13) EMNLP (11) IJCNLP (3) NAACL (3) CONLL (2) EACL (2) ICLR (2) AAAI (1) AISTATS (1) COLING (1) CVPR (1) ICML (1) NIPS (1)

Top co-authors

Bing Xiang (31) Zhiguo Wang (13) Dejiao Zhang (12) Feng Nan (11) Parminder Bhatia (10) Patrick Ng (10) Henghui Zhu (10) Xiaofei Ma (9) Cicero Nogueira dos Santos (8) Ming Tan (7)

Keywords

question answering (5) domain adaptation (4) open-domain question answering (4) semantic similarity (3) named entity recognition (3) unsupervised learning (3) factual consistency (3) abstractive summarization (3) contrastive learning (3) code generation (3) information retrieval (3) topic coherence (2) generative model (2) ambiguous question answering (2) static analysis (2) topic model (2) entity linking (2) bert model (2) topic modeling (2) code completion (2)

Papers

BASS: Batched Attention-optimized Speculative Sampling ACL 2024
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context COLING 2024
CODE REPRESENTATION LEARNING AT SCALE ICLR 2024
Bifurcated Attention for Single-Context Large-Batch Sampling ICML 2024
Token Alignment via Character Matching for Subword Completion ACL 2024
Multi-lingual Evaluation of Code Generation Models ICLR 2023
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion NIPS 2023
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation ACL 2023
ReCode: Robustness Evaluation of Code Generation Models ACL 2023
Exploring Continual Learning for Code Generation Models ACL 2023
ContraCLM: Contrastive Learning For Causal Language Model ACL 2023
Efficient Few-Shot Fine-Tuning for Opinion Summarization NAACL 2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding EMNLP 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ACL 2022
Pairwise Supervised Contrastive Learning of Sentence Representations EMNLP 2021
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction ACL 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering ACL 2021
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering EACL 2021
Entity-level Factual Consistency of Abstractive Text Summarization EACL 2021
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction IJCNLP 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering IJCNLP 2021
Supporting Clustering with Contrastive Learning NAACL 2021
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer AAAI 2020
Beyond [CLS] through Ranking by Generation EMNLP 2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems EMNLP 2020
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling EMNLP 2020
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering ACL 2020
Domain Adaptation with BERT-based Domain Classification and Data Selection EMNLP 2019
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations CVPR 2019
Topic Modeling with Wasserstein Autoencoders ACL 2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering IJCNLP 2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering EMNLP 2019
Coherence-Aware Neural Topic Modeling EMNLP 2018
Pointing the Unknown Words ACL 2016
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond CONLL 2016
Multi-instance Multi-label Learning for Relation Extraction CONLL 2012
Multi-instance Multi-label Learning for Relation Extraction EMNLP 2012
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora EMNLP 2009
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition ACL 2008
Legal Docket Classification: Where Machine Learning Stumbles EMNLP 2008
Semantic Language Models for Topic Detection and Tracking NAACL 2003