Activities ▸ Lab Meeting
Lab members work on a variety of research projects. The Lab Meeting provides a weekly opportunity to share their work with other lab members and get their feedback.
Logistics
- Lab-wide announcement (15 min.)
- Everyone’s submission plan
- Brief recap of conference deadlines
- Discussion about lab management
- Paper skimming (weekly)
- 3 people presents their favorite papers (15 min. x 3)
- Talk: 5 min. / QA : 10 min.
- Poster presentation (monthly)
- 4-5 people present their work by a poster
- Spotlight presentation(s) (on demand)
- 1-2 people present their relatively complete work in oral presentation
Meetings Log
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2025
Date | Type | Presenters | Topic |
|---|---|---|---|
09/03/2025 | Spotlight Oral | Mid-Term Presentation Practice | |
09/02/2025 | Spotlight Oral | P Peter_Obule | Mid-Term Presentation Practice |
08/08/2025 | Spotlight Oral | MS Defense Practice | |
07/25/2025 | Paper Skimming |  houjing | 1. [Kang et al.] See What You Are Told: Visual Attention Sink in Large Multimodal Models | OpenReview
2. [Mu et al.] A Causal Approach for Counterfactual Reasoning in Narratives |
07/18/2025 | Paper Skimming | 1. [Liu et al.] DoRA: Weight-Decomposed Low Rank Adaptation 2. [Nikankin et al.] Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs 3. [Xu et al.] INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback | |
07/11/2025 | Poster | houjing | 1. Counting First or Detection First? An Investigation on Counting Objects in LVLMs 2. The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Subspace Transitions in Multilingual LLMs |
07/04/2025 | Paper Skimming | P Peter_Obule | 1. [Chuang et al.] DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models | OpenReview
2. [Kallini et al.] Mission: Impossible Language Models - ACL Anthology
3. [Yu et al.] Neuron-Level Knowledge Attribution in Large Language Models - ACL Anthology |
06/27/2025 | Paper Skimming |  Naoya Inoue | 1. [Hu et al.] Understanding In-context Learning of Addition via Activation Subspaces
2. [Modell et al.] The Origins of Representation Manifolds in Large Language Models
3. [Ortu et al.] Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals |
06/20/2025 | Paper Skimming | 1. [Lyu et al.] FACTTRACK: Time-Aware World State Tracking in Story Outlines
2. [Huang et al.] Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
3. [Busbridge et al.] Distillation Scaling Laws | |
06/13/2025 | Poster | 1.On Effects of Steering Latent Representation for Large Language Model Unlearning; 2.Step-wise Decomposition Improves Calibration for Answering Multi-Hop Questions | |
05/30/2025 | Paper Skimming | P Peter_Obule | 1. [Feng et al.] LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
2. [Tjandrasuwita et al.] Understanding the Emergence of Multimodal Representation Alignment |
05/23/2025 | Paper Skimming | 1. [Ethelo et al.] Inferring Functionality of Attention Heads from their Parameters
2. [Kaplan et al.] From Tokens to Words: On the Inner Lexicon of LLMs | |
05/16/2025 | Paper Skimming | houjing | 1. [Jiang et al.] Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
2. [Stolfo et al.] Confidence Regulation in LLMs
3. [Jin et al.] Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding |
05/09/2025 | Poster | 1. Mechanism Interpretability on ICL 2. FOCUS Benchmark 3. Understanding Compositional Visual Reasoning | |
04/25/2025 | Paper Skimming | 1. [Ye et al.] SATLM: Satisfiability-Aided Language Models Using Declarative Prompting
2. [Tanneru et al.] Quantifying Uncertainty in Natural Language Explanations of Large Language Models
3. [Celikylimaz et al.] Evaluation of Text Generation: A Survey | |
04/18/2025 | Paper Skimming | P Peter_Obule | 1. [Bi et al.] Iterative Refinement of Project-Level Code Generation
2. [Schug et al.] Attention as a HyperNetwork
3. [Li et al.] Inference Time Intervention: Eliciting Truthful Answer from a Language Model |
04/11/2025 | Paper Skimming | Naoya Inoue | 1. [Stolfo et al.] Confidence Regulation Neurons in LMs
2. [Tien Dang Huu] Unlearning in LLMs: An Introduction
3. [Hatzel et al.] Story Embeddings—Narrative-Focused Representations of Fictional Stories |
04/04/2025 | Kick-off | Naoya Inoue | Kick-off Meeting |
03/03/2025 | NLP2025 Practice Presentation | ||
02/20/2025 | houjing | NLP 2025 Practice Presentation | |
02/13/2025 | Revisiting In-context Learning Inference Circuit in Large Lan- guage Models (ICLR 2025) | ||
02/06/2025 | houjing | ||
01/30/2025 | Quick walkthrough: running Llama on Kagayaki | ||
01/23/2025 | Brainstorming on Logo Design | ||
01/16/2025 | Naoya Inoue | General Discussions |
‣
2024
Date | Type | Presenters | Topic |
|---|---|---|---|
12/11/2024 | Probing Implicit Multi-Step Reasoning in Visual-Language Models | ||
11/27/2024 | Research Proposal: Traffic Sign Benchmarking | ||
11/20/2024 | Light Hearted Mechanistic Interpretability | ||
11/13/2024 | UI Operation Agent | ||
10/30/2024 | Leveraging Socratic Feedback: Using Counter-Arguments to Argument Revision | ||
10/23/2024 | (Master’s Thesis Recap) Towards x86 Instruction Set Emulation in Java via Project-based Text-to-Code Generation using Reinforcement Learning | ||
10/16/2024 | Speech Title: Improve your Presentation | ||
10/08/2024 | Kick-off Meeting | ||
09/24/2024 | Image Encodings are Informative Tokens for Frozen Text Transformers | ||
09/03/2024 | houjing | Practice for Mid-term Presentation | |
08/27/2024 | houjing | YANS Practice Talk | |
08/06/2024 | Practice Talk for MS Defense | ||
07/16/2024 | Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling | ||
07/09/2024 | Naoya Inoue | Special Session: 2nd Kick-off! | |
07/02/2024 | houjing | Probing Visual Prompts in Multimodal Large Language Models (MLLMs) | |
06/25/2024 | NL260 Practice Talk x 2 | ||
06/18/2024 | Meta Cognitive Knowledge in LLMs | ||
05/28/2024 | Towards Making Japanese Implicit Multi-hop Question Benchmarks | ||
05/21/2024 | A Survey of Vision Language Model in Autonomous Driving | ||
05/14/2024 | How to Make Explanation Behind Visual Reasoning Response of LVLMs | ||
05/07/2024 | FA1A2 - A Dataset of Fallacious/Non-Fallacious Arguments for LLM Probing | ||
04/22/2024 | A Survey of the Latest GUI Agent for Cross Application Task and Progress Report | ||
04/16/2024 | Word Embedding “Geometry” | ||
04/10/2024 | Machine Unlearning: Setting, Benchmark, Evaluation | ||
04/04/2024 | Naoya Inoue | Kick-off Meeting | |
03/04/2024 | (NLP2024 poster & presentation practice #2) | ||
02/29/2024 | Naoya Inoue | NLP2024 poster & presentation practice #1 | |
02/22/2024 | Practice talk for mid-term presentation | ||
02/21/2024 | Practice talk for mid-term presentation | ||
02/08/2024 | Practice talk for MS thesis defense | ||
02/01/2024 | Naoya Inoue | Self-Awareness Improves Reliability of LM as KB | |
01/25/2024 | Fallacies Detection Exploitation Toward Large Language Model | ||
01/18/2024 | Can Data Augmentation with Predicate Logic Extend the Predicate Logic Inference of LLM? | ||
01/11/2024 | Machine Unlearning: Similarity-based methods |
‣
2023
Date | Type | Presenters | Topic |
|---|---|---|---|
12/21/2023 | In-Context Learning | ||
12/12/2023 | Identify Important Event in Narrative | ||
12/05/2023 | houjing | Various Probing on VLMs | |
11/28/2023 | Why My Argument has Fallacy | ||
11/21/2023 | Naoya Inoue | (Only Announcement) | |
11/14/2023 | Entailment Tree Construction: Step-by-Step Approach Using Large Language Models | ||
11/07/2023 | Towards Making Better Implicit Multi-hop QA Benchmark | ||
10/31/2023 | Non-end-to-end Evaluation Approaches for Visual Reasoning | ||
10/17/2023 | A Comprehensive (maybe) Survey / Intro about ICL Theory | ||
10/10/2023 | Naoya Inoue | Kick-off Meeting | |
10/02/2023 | The Rise and Potential of Large Language Model Based Agents: A Survey | ||
09/05/2023 | Practice Talk for Mid-term Presentation | ||
08/07/2023 | houjing | From traditional VL to MLLMs | |
07/24/2023 | (Only Announcement) | ||
07/18/2023 | Controller of LLM for Multi-step Reasoning | ||
07/03/2023 | Like Father, Like Son: Large Language Models Empower Smaller Language Models for Zero Shot Fallacy Detection | ||
06/26/2023 | Naoya Inoue | Let’s Watch Together: “How to Read/Write an International Conference Paper by Prof. Graham Neubig@CMU” | |
06/19/2023 | Towards Inductive Reasoning from Visual Information | ||
06/14/2023 | Research Progress Report: Towards generating Japanese multi-hop QA Datasets | ||
05/29/2023 | (Only Announcement) | ||
05/22/2023 | [Paper Reading] Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models | ||
05/15/2023 | Self-Instruct_ Aligning LM with Self Generated Instructions | ||
05/08/2023 | Improving Robustness of NLP Models by Explanation-based Feedback | ||
04/12/2023 | Naoya Inoue | Kick-off Meeting |