语言大模型 / LLM

Self-Improving Embodied Foundation Models

Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson, Pannag Sanketi, Igor Mordatch

机构 * Generalist ； Google DeepMind（谷歌DeepMind） 纠错

专题命中 指令微调 ：foundation model(title,abstract)；large language model(abstract)；language model(abstract)；pretraining(abstract)

Comments Appearing in the Conference on Neural Information Processing Systems (NeurIPS 2025)

Audited Reasoning Refinement: Fine-Tuning Language Models via LLM-Guided Step-Wise Evaluation and Correction

Sumanta Bhattacharyya, Sara Riazi, Pedram Rooshenas

专题命中 指令微调 ：LLM(title,abstract)；language model(title)；SFT(abstract)；preference optimization(abstract)

LLM4MG: Adapting Large Language Model for Multipath Generation via Synesthesia of Machines

Ziwei Huang, Shiliang Lu, Lu Bai, Xuesong Cai, Xiang Cheng

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)

CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning

Huy Le, Phong Nguyen, Hao Do, Tuan Nguyen, Thien Pham, Anh Nguyen-Duc, Tho Quan

专题命中 指令微调 ：foundation model(title,abstract)；instruction tuning(title,abstract)

Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts

Alessandra Stramiglio, Andrea Schimmenti, Valentina Pasqual, Marieke van Erp, Francesco Sovrano, Fabio Vitali

机构 * DISI Departement of Computer Science and Engineering, University of Bologna（博洛尼亚大学计算机科学与工程系） ； Automobili Lamborghini SpA（法拉利公司） ； Digital Humanities Advanced Research Center（数字人文高级研究中心） ； KNAW Humanities Cluster, DHLab（KNAW 人文集群，DHLab） ； ETH Zurich, Collegium Helveticum（苏黎世联邦理工学院，瑞士学院） 纠错

专题命中 指令微调 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Self-Adapting Language Models

Adam Zweiger, Jyothish Pari, Han Guo, Ekin Akyürek, Yoon Kim, Pulkit Agrawal

机构 * Massachusetts Institute of Technology（麻省理工学院） 纠错

专题命中 指令微调 ：language model(title,abstract)；large language model(abstract)；SFT(abstract)；分类 cs.LG

Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model

Shinnosuke Hirano, Yuiga Wada, Tsumugi Iida, Komei Sugiura

机构 * Keio University（庆应大学） 纠错

专题命中 指令微调 ：foundation model(title,abstract)

Comments Accepted for presentation at ICONIP2025

Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction

Yuanbo Xie, Yingjie Zhang, Tianyun Liu, Duohe Ma, Tingwen Liu

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)

Comments Accepted by EMNLP2025 Finding

Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models

Gustavo Sandoval, Denys Fenchenko, Junyao Chen

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；分类 cs.LG

CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning

Ahmad Pouramini, Hesham Faili

专题命中 指令微调 ：language model(abstract)；分类 cs.CL、cs.AI

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Google DeepMind（谷歌DeepMind） 纠错

专题命中 指令微调 ：language model(abstract)；分类 cs.AI、cs.LG

Comments Project website: https://ical-learning.github.io/

Don't Forget the Nonlinearity: Unlocking Activation Functions in Efficient Fine-Tuning

Bo Yin, Xingyi Yang, Xinchao Wang

机构 * National University of Singapore（新加坡国立大学） ； Hong Kong Polytechnic University（香港理工大学） 纠错

专题命中 指令微调 ：instruction tuning(abstract)；分类 cs.LG