arXiv AI
Aug 6
MIDAS: Multi-LLM Iterative Data-Adaptive Summarization
arXiv:2608. 04307v1 Announce Type: cross Abstract: Text summarization is deceptively difficult.
Segment-level Tree Search for Long Meeting Document Summarization
arXiv:2606. 08445v1 Announce Type: cross Abstract: Meeting documents are challenging to summarize due to their length and complex conversational structure.
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Hugging Face Trending Papers
Jun 23
Less is More: Quality-Aware Training Data Selection for Scientific Summarization
Scientific long-document summarization datasets commonly treat author-written abstracts as gold reference summaries, although their quality and alignment with the source article vary. At the same time, publicly available scientific summarization datasets remain limited in scale and structure for modern long-context models.
arXiv AI
Jun 12
G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents
arXiv:2606. 13115v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have advanced open-domain dialogue systems, maintaining long-term consistency remains a challenge due to inherent limitations in long-context reasoning and the inefficiency of processing extensive raw text.
arXiv AI
Jun 19
A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
arXiv:2606. 19591v1 Announce Type: cross Abstract: In this technical report, we focus on solving the challenge of Vietnamese multi-document abstractive summarization, introduced in the International Workshop on Vietnamese Language and Speech Processing (VLSP) 2022.
arXiv AI
Aug 5
Decoupling Generation and Selection for Budget-Constrained Faithful Summarization
arXiv:2608. 03655v1 Announce Type: cross Abstract: Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control.
OpenAI Blog
Sep 4, 2020
Learning to summarize with human feedback
We’ve applied reinforcement learning from human feedback to train language models that are better at summarization.
arXiv AI
Jun 9
DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
arXiv:2601. 07994v5 Announce Type: replace-cross Abstract: Large Language Models (LLMs) increasingly operate over long-form dialogues with frequent topic shifts.
arXiv AI
Aug 11
Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization
arXiv:2608. 09043v1 Announce Type: cross Abstract: Users of modern platforms repeatedly need summaries of recent dialogue, but the window rarely contains enough context to be interpreted on its own.
arXiv AI
Jun 3
A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs
arXiv:2606. 03867v1 Announce Type: cross Abstract: Multi-Document Summarization (MDS) plays a critical role in distilling essential information from collections of textual data.
arXiv AI
Jun 4
MemoryDocDataSet: A Benchmark for Joint Conversational Memory and Long Document Reasoning
arXiv:2606. 04442v1 Announce Type: cross Abstract: AI systems increasingly need to combine two demanding capabilities: navigating multi-session conversation history and performing deep reading comprehension within long documents.
arXiv AI
Jun 4
Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents
arXiv:2606. 04555v1 Announce Type: cross Abstract: Long-horizon conversational agents need to interact with users through evolving events, tasks, and goals.
arXiv AI
Jul 17
Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
arXiv:2607. 14769v1 Announce Type: cross Abstract: Existing text summarization research has focused much on monologic information (e.