Search Results for author: Zeming Chen

Found 16 papers, 10 papers with code

MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator

1 code implementation23 Sep 2024 Cong Wang, Zeming Chen, Shanshi Huang

This work demonstrates that MICSim can easily be combined with optimization strategies to perform design space exploration and used for chip-level Transformers CIM accelerators evaluation.

Quantization

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants

no code implementations7 Aug 2024 Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

We investigate the potential scale of this vulnerability by measuring the degree to which AI assistants can complete assessment questions in standard university-level STEM courses.

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs

1 code implementation12 Mar 2024 Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

Event commonsense reasoning requires the ability to reason about the relationship between events, as well as infer implicit context underlying that relationship.

Knowledge Graphs Multiple-choice +2

Mixed Pseudo Labels for Semi-Supervised Object Detection

1 code implementation12 Dec 2023 Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang

While the pseudo-label method has demonstrated considerable success in semi-supervised object detection tasks, this paper uncovers notable limitations within this approach.

 Ranked #1 on Semi-Supervised Object Detection on COCO 100% labeled data (using extra training data)

Object object-detection +3

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models

1 code implementation4 Oct 2023 Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

In this work, we investigate whether pretrained language models contain various knowledge-critical subnetworks: particular sparse computational subgraphs that can, if removed, precisely suppress specific knowledge the model has memorized.

Language Modelling

Mitigating Label Biases for In-context Learning

1 code implementation28 May 2023 Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut

In this work, we define a typology for three types of label biases in ICL for text classification: vanilla-label bias, context-label bias, and domain-label bias (which we conceptualize and detect for the first time).

In-Context Learning text-classification +1

RECKONING: Reasoning through Dynamic Knowledge Encoding

no code implementations NeurIPS 2023 Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut

In the outer loop, the model learns to use the updated weights to reproduce and answer reasoning questions about the memorized knowledge.

Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding

no code implementations NAACL 2022 Zeming Chen, Qiyue Gao

In the age of large transformer language models, linguistic evaluation play an important role in diagnosing models' abilities and limitations on natural language understanding.

Language Modeling Language Modelling +1

Probing Linguistic Information For Logical Inference In Pre-trained Language Models

1 code implementation3 Dec 2021 Zeming Chen, Qiyue Gao

We propose a methodology for probing linguistic information for logical inference in pre-trained language model representations.

Language Modeling Language Modelling +1

Monotonicity Marking from Universal Dependency Trees

1 code implementation IWCS (ACL) 2021 Zeming Chen, Qiyue Gao

Dependency parsing is a tool widely used in the field of Natural language processing and computational linguistics.

Dependency Parsing

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