Cover Image

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Newman, Benjamin, Lee, Yoonjoo, Naik, Aakanksha, Siangliulue, Pao, Fok, Raymond, Kim, Juho, Weld, Daniel S., Chang, Joseph Chee, Lo, Kyle
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review
by: Fok, Raymond, et al.
Published: (2025)

Literature-Grounded Novelty Assessment of Scientific Ideas
by: Shahid, Simra, et al.
Published: (2025)

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation
by: Radensky, Marissa, et al.
Published: (2024)

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers
by: Lee, Yoonjoo, et al.
Published: (2024)

Intent-Aware Schema Generation And Refinement For Literature Review Tables
by: Padmakumar, Vishakh, et al.
Published: (2025)

LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape
by: Kambhamettu, Hita, et al.
Published: (2026)

Omakase: proactive assistance with actionable suggestions for evolving scientific research projects
by: Siangliulue, Pao, et al.
Published: (2026)

Papers-to-Posts: Supporting Detailed Long-Document Summarization with an Interactive LLM-Powered Source Outline
by: Radensky, Marissa, et al.
Published: (2024)

Qlarify: Recursively Expandable Abstracts for Directed Information Retrieval over Scientific Papers
by: Fok, Raymond, et al.
Published: (2023)

In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making
by: Fok, Raymond, et al.
Published: (2023)

In search of verifiability: Explanations rarely enable complementary performance in AI‐advised decision making
by: Raymond Fok, et al.
Published: (2024)

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
by: Balepur, Nishant, et al.
Published: (2026)

Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research
by: Fok, Raymond, et al.
Published: (2025)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
by: Asai, Akari, et al.
Published: (2024)

DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute
by: Balepur, Nishant, et al.
Published: (2026)

Cocoa: Co-Planning and Co-Execution with AI Agents
by: Feng, K. J. Kevin, et al.
Published: (2024)

Evalet: Evaluating Large Language Models through Functional Fragmentation
by: Kim, Tae Soo, et al.
Published: (2025)

VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos
by: Choi, Seulgi, et al.
Published: (2024)

CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
by: Jansen, Peter, et al.
Published: (2025)

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback
by: Pu, Kevin, et al.
Published: (2024)

Generating Literature-Driven Scientific Theories at Scale
by: Jansen, Peter, et al.
Published: (2026)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
by: Kim, Tae Soo, et al.
Published: (2023)

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
by: Wadden, David, et al.
Published: (2024)

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
by: Kim, Tae Soo, et al.
Published: (2025)

DiscoverLLM: From Executing Intents to Discovering Them
by: Kim, Tae Soo, et al.
Published: (2026)

HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
by: Vasu, Rosni, et al.
Published: (2025)

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
by: Hsu, Chao-Chun, et al.
Published: (2024)

Ai2 Scholar QA: Organized Literature Synthesis with Attribution
by: Singh, Amanpreet, et al.
Published: (2025)

CARE: Extracting Experimental Findings From Clinical Literature
by: Naik, Aakanksha, et al.
Published: (2023)

Improving Attributed Long-form Question Answering with Intent Awareness
by: Zhao, Xinran, et al.
Published: (2026)

Augmenting Expert Cognition in the Age of Generative AI: Insights from Document-Centric Knowledge Work
by: Siu, Alexa, et al.
Published: (2025)

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
by: Lee, Yoonjoo, et al.
Published: (2024)

Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation
by: Liu, Yiren, et al.
Published: (2025)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries
by: Malaviya, Chaitanya, et al.
Published: (2024)

Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews
by: Shin, Hyungyu, et al.
Published: (2025)

LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
by: Shabtay, Nimrod, et al.
Published: (2024)

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction
by: Son, Kihoon, et al.
Published: (2026)

A psychoanalytic exploration of female to male transition. By SerenaHeller. Routledge, London, 2025. pp. 178. £112 (hardback). £25.59 (paperback) 9781032718576
by: Marcella Fok
Published: (2026)

Understanding Scientific Literatures: A Bibliometric Approach.
by: Donohue, Joseph C.
Published: (1973)

Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications
by: Remfry, Elizabeth, et al.
Published: (2024)