Diane Litman
72 papers · 2000–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Diane Litman?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mohamed Elaraby, Yang Zhong, Zhexiong Liu
33 papers
· 2013–2026
· EMNLP, ACL, NAACL
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ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs
EACL 2026
Intention-Adaptive LLM Fine-Tuning for Text Revision Generation
EACL 2026
A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation
ACL 2025
Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization
NAACL 2025
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
EMNLP 2025
From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization
ACL 2025
Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation
ACL 2025
Lessons Learned in Assessing Student Reflections with LLMs
ACL 2025
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback
NAACL 2025
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions
COLING 2024
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
COLING 2024
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
EMNLP 2024
ReflectSumm: A Benchmark for Course Reflection Summarization
COLING 2024
Using Large Language Models to Assess Young Students’ Writing Revisions
NAACL 2024
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
EMNLP 2023
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
EACL 2023
Predicting the Quality of Revisions in Argumentative Writing
ACL 2023
STRONG – Structure Controllable Legal Opinion Summary Generation
IJCNLP 2023
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
ACL 2023
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
COLING 2022
Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions
EMNLP 2022
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
COLING 2022
Exploring Multitask Learning for Low-Resource Abstractive Summarization
EMNLP 2021
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization
EMNLP 2021
Multi-task Learning in Argument Mining for Persuasive Online Discussions
EMNLP 2021
Self-trained Pretrained Language Models for Evidence Detection
EMNLP 2021
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing
ACL 2020
Annotation and Classification of Sentence-level Revision Improvement
NAACL 2018
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
COLING 2016
Automatic Summarization of Student Course Feedback
NAACL 2016
Enhancing Instructor-Student and Student-Student Interactions with Mobile Interfaces and Summarization
NAACL 2015
Summarizing Student Responses to Reflection Prompts
EMNLP 2015
Reducing Annotation Effort on Unbalanced Corpus based on Cost Matrix
NAACL 2013
5 papers whose co-authors appear nowhere else under this name
Differences in User Responses to a Wizard-of-Oz versus Automated System
NAACL 2013
Proceedings of the NAACL HLT 2010 Student Research Workshop
NAACL 2010
Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*
EMNLP 2006
Towards Emotion Prediction in Spoken Tutoring Dialogues
NAACL 2003
Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You?
NAACL 2000