大模型推理能力

How Can Recommender Systems Benefit from Large Language Models: A Survey

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Comments Accepted by ACM Transactions on Information Systems (TOIS); Look-up table in appendix

Investigating Decoder-only Large Language Models for Speech-to-text Translation

Chao-Wei Huang, Hui Lu, Hongyu Gong, Hirofumi Inaguma, Ilia Kulikov, Ruslan Mavlyutov, Sravya Popuri

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Accepted to Interspeech 2024

Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?

Nishant Balepur, Rachel Rudinger

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments KnowledgeLM Workshop @ ACL 2024

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Comments Accepted by Frontier of Computer Science

Context Graph

Chengjin Xu, Muzhi Li, Cehao Yang, Xuhui Jiang, Lumingyuan Tang, Yiyan Qi, Jian Guo

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Aligning Teacher with Student Preferences for Tailored Training Data Generation

Yantao Liu, Zhao Zhang, Zijun Yao, Shulin Cao, Lei Hou, Juanzi Li

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments ACL Findings

Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints

Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments 11 pages, ACL 2023

Scaling Laws for Linear Complexity Language Models

Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Technical report. Yiran Zhong is the corresponding author

C-ICL: Contrastive In-context Learning for Information Extraction

Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments 15 pages

Human-AI Safety: A Descendant of Generative AI and Control Systems Safety

Andrea Bajcsy, Jaime F. Fisac

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Comments Revised version with refined exposition and technical details. 12 pages + references, 5 figures

Causal Inference with Latent Variables: Recent Advances and Future Prospectives

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

专题命中 其他推理 ：reasoning(abstract)；分类 cs.LG

Comments Accepted by KDD'24 Survey Track

Are Logistic Models Really Interpretable?

Danial Dervovic, Freddy Lécué, Nicolás Marchesotti, Daniele Magazzeni

专题命中 其他推理 ：reasoning(abstract)；分类 cs.LG

Comments 36 pages, 5 Figures. Extended version of paper accepted to IJCAI 2024. arXiv admin note: substantial text overlap with arXiv:2211.06360

Metacognitive AI: Framework and the Case for a Neurosymbolic Approach

Hua Wei, Paulo Shakarian, Christian Lebiere, Bruce Draper, Nikhil Krishnaswamy, Sergei Nirenburg

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Improving Multi-Agent Debate with Sparse Communication Topology

Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou, Peter Grabowski, Yeqing Li, Eugene Ie

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments 13 pages, 9 figures

Paraphrasing in Affirmative Terms Improves Negation Understanding

MohammadHossein Rezaei, Eduardo Blanco

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Accepted to ACL 2024

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra

Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments For associated codebase, see https://github.com/parkervg/blendsql

Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions

Ziyue Wang, Chi Chen, Peng Li, Yang Liu

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Accepted to EMNLP2023 Findings

Journal ref https://aclanthology.org/2023.findings-emnlp.189/

Think out Loud: Emotion Deducing Explanation in Dialogues

Jiangnan Li, Zheng Lin, Lanrui Wang, Qingyi Si, Yanan Cao, Mo Yu, Peng Fu, Weiping Wang, Jie Zhou

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen

专题命中 其他推理 ：reasoning(abstract)；分类 cs.LG

Comments 10 pages, 5 figures

Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs

Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Naming, Describing, and Quantifying Visual Objects in Humans and LLMs

Alberto Testoni, Juell Sprott, Sandro Pezzelle

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Accepted to ACL 2024 (main conference)

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?

Ning Bian, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Comments Accepted to ACL 2024

OLIVE: Object Level In-Context Visual Embeddings

Timothy Ossowski, Junjie Hu

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Comments ACL 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Journal ref ACL 2024, Main Conference

Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory

Hangyeol Kang, Maher Ben Moussa, Nadia Magnenat-Thalmann

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Explainable Attribute-Based Speaker Verification

Xiaoliang Wu, Chau Luu, Peter Bell, Ajitha Rajan

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

A Multi-Source Retrieval Question Answering Framework Based on RAG

Ridong Wu, Shuhong Chen, Xiangbiao Su, Yuankai Zhu, Yifei Liao, Jianming Wu

专题命中 其他推理 ：reasoning(abstract)；分类 cs.AI

Comments 4 pages,3 figures

iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers

Harshit Gupta, Manav Chaudhary, Tathagata Raha, Shivansh Subramanian, Vasudeva Varma

专题命中 其他推理 ：reasoning(abstract)；分类 cs.CL

Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

专题命中 其他推理 ：chain-of-thought(abstract)；分类 cs.CL

Comments Accepted at EDM 2024