Papers
Wed 3 Apr 2024
271 papers
- Concept-Guided LLM Agents for Human-AI Safety CodesignLLM agents and tool use → Agent threats, guardrails and governance
- MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain ExpertiseLLM agents and tool use → General LLM agent frameworks and benchmarks
- Improve Knowledge Distillation via Label Revision and Data SelectionKnowledge distillation → General knowledge distillation methods
- LVLM-Interpret: An Interpretability Tool for Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Many-to-many Image Generation with Auto-regressive Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical VentilationDeep reinforcement learning methods → RL for clinical treatment and surgery
- Model-based Reinforcement Learning for Parameterized Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
- An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at ScaleDiffusion models → Image generation, text-to-image and editing
- Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New ConnectionsDiffusion models → Diffusion foundations and sampling
- KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual CheckingLLM reasoning → Hallucination detection and mitigation
- GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale PredictionDiffusion models → Image generation, text-to-image and editing
- On the Scalability of Diffusion-based Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Toward Inference-optimal Mixture-of-Expert Large Language ModelsMixture-of-experts → MoE large language models
- Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic ComparisonRetrieval-augmented generation → Generation and context integration
- Faster Diffusion via Temporal Attention DecompositionDiffusion models → Image generation, text-to-image and editing
- Harnessing the Power of Large Vision Language Models for Synthetic Image DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Reinforcement Learning in Categorical CyberneticsDeep reinforcement learning methods → RL theory and sample complexity
- RS-Mamba for Large Remote Sensing Image Dense PredictionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Calibrating the Confidence of Large Language Models by Eliciting FidelityLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Diffexplainer: Towards Cross-modal Global Explanations with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward EngineeringDeep reinforcement learning methods → RL for robot navigation and UAV control
- Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-ResolutionKnowledge distillation → General knowledge distillation methods
- Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA dataDiffusion models → Flow matching, time series and science
- Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Convergence Analysis of Flow Matching in Latent Space with TransformersDiffusion models → Flow matching, time series and science
- ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language ModelSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser GameLLM safety and security → Prompt injection and agent security
- Manipulating and Mitigating Generative Model Biases without RetrainingLLM safety and security → Vision-language and text-to-image safety
- VIAssist: Adapting Multi-modal Large Language Models for Users with Visual ImpairmentsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Deep Reinforcement Learning for Traveling Purchaser ProblemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?LLM reasoning → Prompting and chain-of-thought reasoning
- A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware CapabilityLLM safety and security → Membership inference attacks
- RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic SegmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based DatasetEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity and Performance RestorationLLM reasoning → Multimodal reasoning +1
- Enhancing Low-Resource LLMs Classification with PEFT and Synthetic DataSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and BiasesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Decision Transformer as a Foundation Model for Partially Observable Continuous ControlOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Exploring Backdoor Vulnerabilities of Chat ModelsLLM safety and security → Backdoor and data poisoning attacks
- Enhancing Diffusion-based Point Cloud Generation with Smoothness ConstraintDiffusion models → 3D, point cloud and scene generation
- DRL-Based RAT Selection in a Hybrid Vehicular Communication Network
- Law and the Emerging Political Economy of Algorithmic Audits
- Attributions toward Artificial Agents in a modified Moral Turing Test
- Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
- Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring
- How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
- The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
- VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI
- Navigating the Evaluation Funnel to Optimize Iteration Speed for Recommender Systems
- A Bayesian Regression Approach for Estimating the Impact of COVID-19 on Consumer Behavior in the Restaurant Industry
- Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection
- Interval-valued fuzzy soft β-covering approximation spaces
- Personality-affected Emotion Generation in Dialog Systems
- Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods
- JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
- Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
- Translation-based Video-to-Video Synthesis
- Analyzing Economic Convergence Across the Americas: A Survival Analysis Approach to GDP per Capita Trajectories
- Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights
- Convolutional variational autoencoders for secure lossy image compression in remote sensing
- Utilizing Computer Vision for Continuous Monitoring of Vaccine Side Effects in Experimental Mice
- Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
- Testing the Effect of Code Documentation on Large Language Model Code Understanding
- Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking
- MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search
- Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
- Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
- SalFoM: Dynamic Saliency Prediction with Video Foundation Models
- Unsupervised, Bottom-up Category Discovery for Symbol Grounding with a Curious Robot
- Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
- Auditing the Use of Language Models to Guide Hiring Decisions
- Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
- Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
- Machine Learning and Data Analysis Using Posets: A Survey
- First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
- Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
- Mai Ho'om=auna i ka 'Ai: Language Models Improve Automatic Speech Recognition in Hawaiian
- Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion
- Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System
- Automatic Extraction of Linguistic Description from Fuzzy Rule Base
- Goal Recognition Design for General Behavioral Agents using Machine Learning
- GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification
- ANOVA-boosting for Random Fourier Features
- Language, Environment, and Robotic Navigation
- Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse
- The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies
- Linear Anchored Gaussian Mixture Model for Location and Width Computations of Objects in Thick Line Shape
- AWOL: Analysis WithOut synthesis using Language
- MuLan: A Study of Fact Mutability in Language Models
- Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
- BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes
- Blessing or curse? A survey on the Impact of Generative AI on Fake News
- GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
- Distributionally Robust Policy and Lyapunov-Certificate Learning
- DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
All 271
- Spectral Clustering in Convex and Constrained Settings
- Transfer learning applications for anomaly detection in wind turbines
- Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
- MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
- Risk-averse Learning with Non-Stationary Distributions
- Universal Functional Regression with Neural Operator Flows
- Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding
- Scaling Laws for Galaxy Images
- The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
- DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization
- Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
- Foundation Models for Structural Health Monitoring
- Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
- Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
- Towards Explainable Traffic Flow Prediction with Large Language Models
- Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
- NL2KQL: From Natural Language to Kusto Query
- ALOHa: A New Measure for Hallucination in Captioning Models
- LidarDM: Generative LiDAR Simulation in a Generated World
- DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
- MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment
- Deep Image Composition Meets Image Forgery
- Comment on "Machine learning conservation laws from differential equations"
- ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
- MODNO: Multi Operator Learning With Distributed Neural Operators
- Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- PoCo: Point Context Cluster for RGBD Indoor Place Recognition
- Linear Attention Sequence Parallelism
- FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
- Gaussian Process Regression with Soft Inequality and Monotonicity Constraints
- Integrating Explanations in Learning LTL Specifications from Demonstrations
- Human Activity Recognition using Smartphones
- Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds
- End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
- Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation
- I-Design: Personalized LLM Interior Designer
- Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
- Empowering Biomedical Discovery with AI Agents
- Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
- BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
- Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
- Identifying Climate Targets in National Laws and Policies using Machine Learning
- A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
- GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation
- Generative-Contrastive Heterogeneous Graph Neural Network
- An Optimization Framework to Personalize Passive Cardiac Mechanics
- The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
- On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
- MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
- GenN2N: Generative NeRF2NeRF Translation
- Domain Generalization through Meta-Learning: A Survey
- Federated Computing -- Survey on Building Blocks, Extensions and Systems
- FPT: Feature Prompt Tuning for Few-shot Readability Assessment
- AQuA -- Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs
- Unsupervised Occupancy Learning from Sparse Point Cloud
- DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement
- Continual Learning of Numerous Tasks from Long-tail Distributions
- LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
- Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
- InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
- Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
- Learning Sequence Attractors in Recurrent Networks with Hidden Neurons
- Unsupervised Learning of Effective Actions in Robotics
- On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
- Can We Understand Plasticity Through Neural Collapse?
- Automatic Prompt Selection for Large Language Models
- ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation
- PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders
- Scalable Model Editing via Customized Expert Networks
- Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
- Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition
- Automated Inference of Graph Transformation Rules
- How Sparse Attention Approximates Exact Attention? Your Attention is Naturally nC-Sparse
- Design2Cloth: 3D Cloth Generation from 2D Masks
- Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers
- PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
- Independently Keypoint Learning for Small Object Semantic Correspondence
- The VoicePrivacy 2024 Challenge Evaluation Plan
- Responsible Reporting for Frontier AI Development
- Adversarial Attacks and Dimensionality in Text Classifiers
- A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task
- Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
- Towards detecting unanticipated bias in Large Language Models
- On the Importance of Uncertainty in Decision-Making with Large Language Models
- A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems
- SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
- Vocabulary Attack to Hijack Large Language Model Applications
- 3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization
- Effector: A Python package for regional explanations
- A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
- Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition
- Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models
- Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
- Adjusting Interpretable Dimensions in Embedding Space with Human Judgments
- Neural Radiance Fields with Torch Units
- Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
- Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields
- X-SHIELD: Regularization for eXplainable Artificial Intelligence
- QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
- Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation
- Adaptive Sampling Policies Imply Biased Beliefs: A Generalization of the Hot Stove Effect
- Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
- Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages
- The Surprising Effectiveness of Rankers Trained on Expanded Queries
- Unsegment Anything by Simulating Deformation
- Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
- Multi-Granularity Guided Fusion-in-Decoder
- Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation
- Learning Alternative Ways of Performing a Task
- Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
- MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness
- SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing
- Representation Alignment Contrastive Regularization for Multi-Object Tracking
- Regional biases in image geolocation estimation: a case study with the SenseCity Africa dataset
- An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree
- AI-Tutoring in Software Engineering Education
- Semi-Supervised Unconstrained Head Pose Estimation in the Wild
- Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
- CSEPrompts: A Benchmark of Introductory Computer Science Prompts
- A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality
- Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
- Text-driven Affordance Learning from Egocentric Vision
- CPAISD: Core-penumbra acute ischemic stroke dataset
- HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras
- Tightly-Coupled LiDAR-IMU-Wheel Odometry with Online Calibration of a Kinematic Model for Skid-Steering Robots
- Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
- Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages
- Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
- An Interpretable Client Decision Tree Aggregation process for Federated Learning
- Lifelong Event Detection with Embedding Space Separation and Compaction
- Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation
- Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
- Measuring Social Norms of Large Language Models
- Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
- DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
- New methods for drug synergy prediction: a mini-review
- FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
- Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
- Prompting for Numerical Sequences: A Case Study on Market Comment Generation
- On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
- TSNet:A Two-stage Network for Image Dehazing with Multi-scale Fusion and Adaptive Learning
- PhonologyBench: Evaluating Phonological Skills of Large Language Models
- Techniques for Measuring the Inferential Strength of Forgetting Policies
- Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations
- Task Agnostic Architecture for Algorithm Induction via Implicit Composition
- Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief
- A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method
- Masked Completion via Structured Diffusion with White-Box Transformers
- The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
- From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives
- On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons
- Revisiting subword tokenization: A case study on affixal negation in large language models
- Auxiliary task demands mask the capabilities of smaller language models
- TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving
- CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models
- TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression
- Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT
- Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
- Optimal Batch Allocation for Wireless Federated Learning
- Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis
- Backdoor Attack on Multilingual Machine Translation
- Low-resource neural machine translation with morphological modeling
- APC2Mesh: Bridging the gap from occluded building faccades to full 3D models
- On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL
- CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
- An inversion problem for optical spectrum data via physics-guided machine learning
- Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
- Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach
- Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
- Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns