---
title: "NeurIPS 2024 — accepted papers — Elamur Research"
description: "NeurIPS 2024 — accepted papers: 34 papers in the Elamur Research library (Vancouver, Canada), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / 2024

# NeurIPS 2024 — accepted papers

NeurIPS 2024 is the 2024 edition of the Conference on Neural Information Processing Systems (NeurIPS), held in Vancouver, Canada, 10–15 December 2024. OpenAlex lists 4,494 papers of it; our library holds 34 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**4,494** papers in the proceedings](#all) · [**34** works in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/works/) · [**6,847** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/works/)**Vancouver, Canada** where it was held**10–15 December 2024** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[YOLOv10: Real-Time End-to-End Object Detection](https://doi.org/10.52202/079017-3429)**Ao Wang, Hui Chen, Lihao Liu et al.*2,788 citations*
2. **[VMamba: Visual State Space Model](https://doi.org/10.52202/079017-3273)**Yue Liu, Yunjie Tian, Yuzhong Zhao et al.*1,295 citations*
3. **[Depth Anything V2](https://doi.org/10.52202/079017-0688)**Lihe Yang, Bingyi Kang, Zilong Huang et al.*610 citations*
4. **[TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables](https://doi.org/10.52202/079017-0015)**Yuxuan Wang, Haixu Wu, Jiaxiang Dong et al.*260 citations*
5. **[SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/)**John Yang, Carlos Jimenez, Alexander Wettig et al.*241 citations · our summary*
6. **[xLSTM: Extended Long Short-Term Memory](https://doi.org/10.52202/079017-3417)**Maximilian Beck, Korbinian Pöppel, Markus Spanring et al.*233 citations*
7. **[LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS](https://doi.org/10.52202/079017-4447)**Zhiwen Fan, Kevin Wang, Kairun Wen et al.*214 citations*
8. **[Gorilla: Large Language Model Connected with Massive APIs](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/)**Shishir G. Patil, Tianjun Zhang, Xin Wang et al.*196 citations · our summary*
9. **[CogVLM: Visual Expert for Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-cogvlm-visual-expert-pretrained/)**Weihan Wang, Qingsong Lv, Wenmeng Yu et al.*152 citations · our summary*
10. **[Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction](https://doi.org/10.52202/079017-2694)**Keyu Tian, Yi Jiang, Zehuan Yuan et al.*142 citations*

## All accepted papers (4,494)

The most cited first; 34 with our summary link to their page here, the others to the original.

1. **[YOLOv10: Real-Time End-to-End Object Detection](https://doi.org/10.52202/079017-3429)**Ao Wang, Hui Chen, Lihao Liu et al.*2,788 citations*
2. **[VMamba: Visual State Space Model](https://doi.org/10.52202/079017-3273)**Yue Liu, Yunjie Tian, Yuzhong Zhao et al.*1,295 citations*
3. **[Depth Anything V2](https://doi.org/10.52202/079017-0688)**Lihe Yang, Bingyi Kang, Zilong Huang et al.*610 citations*
4. **[TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables](https://doi.org/10.52202/079017-0015)**Yuxuan Wang, Haixu Wu, Jiaxiang Dong et al.*260 citations*
5. **[SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/)**John Yang, Carlos Jimenez, Alexander Wettig et al.*241 citations · our summary*
6. **[xLSTM: Extended Long Short-Term Memory](https://doi.org/10.52202/079017-3417)**Maximilian Beck, Korbinian Pöppel, Markus Spanring et al.*233 citations*
7. **[LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS](https://doi.org/10.52202/079017-4447)**Zhiwen Fan, Kevin Wang, Kairun Wen et al.*214 citations*
8. **[Gorilla: Large Language Model Connected with Massive APIs](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/)**Shishir G. Patil, Tianjun Zhang, Xin Wang et al.*196 citations · our summary*
9. **[CogVLM: Visual Expert for Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-cogvlm-visual-expert-pretrained/)**Weihan Wang, Qingsong Lv, Wenmeng Yu et al.*152 citations · our summary*
10. **[Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction](https://doi.org/10.52202/079017-2694)**Keyu Tian, Yi Jiang, Zehuan Yuan et al.*142 citations*
11. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/)**Yu Gu, Yiheng Shu, Yu Gu et al.*134 citations · our summary*
12. **[SGLang: Efficient Execution of Structured Language Model Programs](https://md.research.elamur.ai/free/en/papers/zheng-2023-sglang-efficient-execution-structured-language/)**Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie et al.*132 citations · our summary*
13. **[MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/)**Yubo Wang, Xueguang Ma, Ge Zhang et al.*122 citations · our summary*
14. **[SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models](https://doi.org/10.52202/079017-4293)**An‐Chieh Cheng, Hongxu Yin, Yang Lie Fu et al.*116 citations*
15. **[PointMamba: A Simple State Space Model for Point Cloud Analysis](https://doi.org/10.52202/079017-1026)**Dingkang Liang, Xin Zhou, Wei Xu et al.*112 citations*
16. **[AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents](https://doi.org/10.52202/079017-2636)**Edoardo Debenedetti, Jie Zhang, Mislav Balunović et al.*106 citations*
17. **[Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning](https://doi.org/10.52202/079017-3518)**Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He et al.*106 citations*
18. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)**Xiaoxin He, Yijun Tian, Yifei Sun et al.*105 citations · our summary*
19. **[SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion](https://doi.org/10.52202/079017-2046)**Lu Han, Xu-Yang Chen, Han-Jia Ye et al.*105 citations*
20. **[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/)**Lin Chen, Jinsong Li, Xiaoyi Dong et al.*103 citations · our summary*
21. **[FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision](https://doi.org/10.52202/079017-2193)**Jay Shah, Ganesh Bikshandi, Ying Zhang et al.*101 citations*
22. **[JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/)**Patrick Chao, Edoardo Debenedetti, Alexander Robey et al.*95 citations · our summary*
23. **[Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving](https://doi.org/10.52202/079017-0025)**Xiaosong Jia, Zhenjie Yang, Qifeng Li et al.*91 citations*
24. **[MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection](https://doi.org/10.52202/079017-2274)**Haoyang He, Yuhu Bai, Jiangning Zhang et al.*91 citations*
25. **[Tree of Attacks: Jailbreaking Black-Box LLMs Automatically](https://md.research.elamur.ai/free/en/papers/mehrotra-2023-tree-attacks-jailbreaking-black-box/)**Anay Mehrotra, Manolis Zampetakis, Paul Kassianik et al.*84 citations · our summary*

[See all 4,494 papers in NeurIPS 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/papers/)

## Papers with our summary in our library (34)

The most cited first (OpenAlex citations plus our library's).

1. **[MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yubo Wang, Xueguang Ma, Ge Zhang, et al.*2024 · 731 citations*
2. **[SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**John Yang, Carlos E. Jimenez, Alexander Wettig, et al.*2024 · 507 citations*
3. **[The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale](https://md.research.elamur.ai/free/en/papers/penedo-2024-fineweb-datasets-decanting-web-finest/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.*2024 · 404 citations*
4. **[SnapKV: LLM Knows What You are Looking for Before Generation](https://md.research.elamur.ai/free/en/papers/li-2024-snapkv-llm-knows-looking-before/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuhong Li, Yingbing Huang, Bowen Yang, et al.*2024 · 350 citations*
5. **[KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization](https://md.research.elamur.ai/free/en/papers/hooper-2024-kvquant-towards-10-million-context/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.*2024 · 293 citations*
6. **[JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.*2024 · 273 citations*
7. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.*2024 · 264 citations*
8. **[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2024 · 263 citations*
9. **[QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs](https://md.research.elamur.ai/free/en/papers/ashkboos-2024-quarot-outlier-free-4-bit/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.*2024 · 252 citations*
10. **[RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Maurice Weber, Daniel Fu, Quentin Anthony, et al.*2024 · 247 citations*
11. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*
12. **[OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 228 citations*
13. **[Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ke Wang, Junting Pan, Weikang Shi, et al.*2024 · 198 citations*
14. **[MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.*2024 · 197 citations*
15. **[ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.*2024 · 197 citations*
16. **[What matters when building vision-language models?](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2024-matters-building-vision-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.*2024 · 195 citations*
17. **[Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/tong-2024-cambrian-1-fully-open-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shengbang Tong, Ellis Brown, Penghao Wu, et al.*2024 · 173 citations*
18. **[Long-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jerry Wei, Chengrun Yang, Xinying Song, et al.*2024 · 162 citations*
19. **[CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Cheng Li, Mengzhou Chen, Jindong Wang, et al.*2024 · 160 citations*
20. **[DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.*2024 · 156 citations*
21. **[WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs](https://md.research.elamur.ai/free/en/papers/han-2024-wildguard-open-one-stop-moderation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Seungju Han, Kavel Rao, Allyson Ettinger, et al.*2024 · 155 citations*
22. **[BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 147 citations*
23. **[Iterative Reasoning Preference Optimization](https://md.research.elamur.ai/free/en/papers/pang-2024-iterative-reasoning-preference-optimization/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.*2024 · 144 citations*
24. **[Many-Shot In-Context Learning](https://md.research.elamur.ai/free/en/papers/agarwal-2024-many-shot-context-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.*2024 · 134 citations*
25. **[Simple and Effective Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.*2024 · 134 citations*

[See all 34 works in NeurIPS 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/works/)

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (23)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (5)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (5)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (5)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety (2)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Computer Science (34)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (27)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering (2)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Social Sciences (2)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Business, Management and Accounting (1)](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Ge Zhang**2 works here · 825 citations](https://md.research.elamur.ai/free/en/authors/ge-zhang/) · [🧑‍🔬**Leandro Von Werra**2 works here · 430 citations](https://md.research.elamur.ai/free/en/authors/leandro-von-werra/) · [🧑‍🔬**Loubna Ben Allal**2 works here · 430 citations](https://md.research.elamur.ai/free/en/authors/loubna-ben-allal/) · [🧑‍🔬**Martin Jaggi**2 works here · 278 citations](https://md.research.elamur.ai/free/en/authors/martin-jaggi/) · [🧑‍🔬**Allyson Ettinger**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/allyson-ettinger/) · [🧑‍🔬**Kavel Rao**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/kavel-rao/) · [🧑‍🔬**Liwei Jiang**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/liwei-jiang/) · [🧑‍🔬**Nouha Dziri**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/nouha-dziri/) · [🧑‍🔬**Seungju Han**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/seungju-han/) · [🧑‍🔬**Yejin Choi**2 works here · 244 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Max Ku**1 work here · 731 citations](https://md.research.elamur.ai/free/en/authors/max-ku/) · [🧑‍🔬**Tianle Li**1 work here · 731 citations](https://md.research.elamur.ai/free/en/authors/tianle-li/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- [next → NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)