Good Papers: read the good ones

Showing Knowledge editing Show all papers

76%Highly rated

?Highly ratedVote to see the score

ACL 2026U Virginia NEC Knowledge editing

LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory

LOKA introduces conflict-aware LLM knowledge updates using adaptive multi-unit memory with learned routing, improving accuracy and flexibility over separate unlearning and learning methods.

Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li and 1 more

Published 2026 · 0 citations

– ReadersNo votes yet

10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it

lenient 5/5

medium 5/10

strict 0/5

78%Highly rated

?Highly ratedVote to see the score

WSDMOralU Virginia Knowledge editing

MolEdit: Knowledge Editing for Multimodal Molecule Language Models

MolEdit enables targeted knowledge editing in multimodal molecule language models via multi-expert adapters and expertise-aware switching, improving reliability and locality.

Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He and 2 more

Published Oct 20, 2025 · 0 citations

– ReadersNo votes yet

11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it

lenient 5/5

medium 6/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026InstaDeep / Personal Knowledge editing

Causal Edit Serialization

Louis Robinson

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Institute for Basic Science Max Planck Institute for Securit KAIST Knowledge editing

Memoir: Let the Model Direct Its Own Story for Robust Cross-Domain Knowledge Editing

Jea Kwon, Jiwon Kim, Dong Kyum Kim, Meeyoung Cha

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026SUN YAT-SEN UNIVERSITY National University of Singapore Central South Wuhan Knowledge editing

Internalize External Competence for Visual Instruction Editing

Wenjun Huang, Rui Zhao, Suyang Hou, Jiahao Tang and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Korea Konkuk Knowledge editing

Mitigating Knowledge Conflicts in Retrieval-Augmented Generation via Inference-Time Representation Editing

Dahyun Jung, Jaehyung Seo, Heuiseok Lim

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026Chung-Ang Knowledge editing

ReCoG: Relational Concept Graph for Training-Free Personalization

Changseon Yu, Hyeokjun Kweon

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026U Manchester Beijing University of Aeronautic Knowledge editing

What Can Labels Alone Audit and Edit in Frozen Representations?

Yirong Xiang, Yibo Zhou

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026SpotlightHarbin Institute of Technology Harbin Institute of Technology National University of Singapore Harbin Institute of Technology, Pengcheng Laboratory Knowledge editing

Breaking Information Islands in Sparse Tuning via Small-World Connectivity

Xianchao Guan, Zijun Xiong, Yifeng Wang, Yubo Cui and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

45%Niche pick

?Niche pickVote to see the score

NeurIPS 2026Beijing University of Posts and Peking University, Tsinghua Peking Alibaba Group Meituan Knowledge editing

DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models

Jinhu Fu, Yan Bai, Yihang Lou, Li Sun and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it

lenient 0/5

medium 0/10

strict 0/5

57%Worth a look

?Worth a lookVote to see the score

NeurIPS 2026Renmin University of China Alibaba Group Beijing University of Aeronautic Wuhan Knowledge editing

MuEdit: An efficient multi-task editing method towards inter-domain knowledge conflicts

Songshi Liang, Ting-En Lin, Zixuan Huang, Yuchuan Wu and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it

lenient 1/5

medium 0/10

strict 0/5

72%Highly rated

?Highly ratedVote to see the score

NeurIPS 2026U the Chinese Academy of Science U Chinese Academy of Sciences Knowledge editing

MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off

MetaKE unifies knowledge editing stages via bi-level optimization with structural gradient proxies, improving the accuracy-editability trade-off.

Shuxin Liu, Di Gao, Ou Wu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it

lenient 3/5

medium 5/10

strict 0/5

91%Must read

?Must readVote to see the score

NeurIPS 2026Tokyo Institute of Technology, T New York Institute of Tokyo Science Knowledge editing

Norm Anchors Make Model Edits Last

Locate-and-Edit editing fails via a norm-feedback loop that exponentially amplifies weights; Norm-Anchor Scaling fixes it by anchoring norms to reference values, extending editing horizons 4x with minimal overhead.

Mingda Liu, Zhenghan Zhu, Ze‘an Miao, Katsuki Fujisawa

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 17 of 20 reviewers recommend it

lenient 4/5

medium 10/10

strict 3/5

89%Must read

?Must readVote to see the score

NeurIPS 2026U Tübingen Helmholtz Munich U Virginia U Toronto Harvard U Tübingen Knowledge editing

MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models

MedKIT evaluates medical LLM knowledge integration via clinical updates, revealing strong recall but limited relational, compositional, and operational generalization across 12 strategies.

Lukas Thede, Yash Kumar, David Chen, Danielle Bitterman and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet

16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it

lenient 5/5

medium 7/10

strict 4/5

80%Must read

?Must readVote to see the score