Ramesh Nallapati

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

Achievements

+13 more ↓

🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🏃 Academic Marathon (21) 🌈 Renaissance Researcher (6)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🏃 Academic Marathon (21) 👥 Mega-Team (25) 🏆 Grand Slam 🤝 Dynamic Duo (31) 🧬 Topic Evolution 💎 Century Club (42) 📈 Trend Setter ❓ The Questioner ⚡ Prolific Year (5) 🗃️ Keyword Collector (151) 🔥 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