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Conferences
Mohit Bansal
89 papers at tracked venues · 60 at CORE A* · active 2024–2026
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Venues
ICLR
×18
ACL
×17
EMNLP
×14
NAACL
×8
NeurIPS
×7
CVPR
×6
ICCV
×4
ICML
×4
EACL
×3
WACV
×3
AAAI
×2
ACM MM
×2
ECCV
×1
Frequent coauthors
Shoubin Yu
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David Wan
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Justin Chih-Yao Chen
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Duy Nguyen
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×3
Han Wang
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Adyasha Maharana
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Yiyang Zhou
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×3
Han Lin
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Jaemin Cho
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Archiki Prasad
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Elias Stengel-Eskin
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×3
Jialu Li
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×3
Papers
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
EACL 2026
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Nithin Sivakumaran
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DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation
AAAI 2026
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Zun Wang
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GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
ACL 2026
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Duy Nguyen
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Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
EACL 2026
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Hyunji Lee
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PRInTS: Reward Modeling for Long-Horizon Information Seeking
ACL 2026
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Jaewoo Lee
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PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
ACL 2026
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Sapir Harary
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RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation
EACL 2026
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Tianyi Niu
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Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
ACL 2026
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Tianyi Niu
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Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
ACL 2026
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Daeun Lee
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Stabilizing Efficient Reasoning with Step-Level Advantage Selection
ACL 2026
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Han Wang
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TimeRefine: Temporal Grounding with Time Refining Video LLM
WACV 2026
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Xizi Wang
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4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
NeurIPS 2025
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Ziqiao Ma
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AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
NAACL 2025
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Han Wang
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Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
ICLR 2025
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Adyasha Maharana
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Anyprefer: An Agentic Framework for Preference Data Synthesis
ICLR 2025
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Yiyang Zhou
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Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
NeurIPS 2025
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Han Lin
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Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
ICLR 2025
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Zun Wang
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CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
ICCV 2025
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Atin Pothiraj
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CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
ICLR 2025
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Shoubin Yu
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Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
ICLR 2025
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Han Lin
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Dam: Dynamic Adapter Merging for Continual Video QA Learning
WACV 2025
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Feng Cheng
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DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
ICLR 2025
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Zaid Khan
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FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
EMNLP 2025
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Parker Seegmiller
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Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
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Pingzhi Li
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Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention
WACV 2025
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Danfeng Guo
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LAQuer: Localized Attribution Queries in Content-grounded Generation
ACL 2025
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Eran Hirsch
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LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
NeurIPS 2025
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Duy Nguyen
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Language Models Identify Ambiguities and Exploit Loopholes
EMNLP 2025
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Jio Choi
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M3DocVQA: Multi-Modal Multi-Page Multi-Document Understanding
ICCV 2025
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Jaemin Cho
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MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
NAACL 2025
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David Wan
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MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
EMNLP 2025
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Justin Chih-Yao Chen
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MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation
EMNLP 2025
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Shoubin Yu
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Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level
CVPR 2025
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Andong Deng
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Multi-Attribute Steering of Language Models via Targeted Intervention
ACL 2025
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Duy Nguyen
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On Positional Bias of Faithfulness for Long-form Summarization
NAACL 2025
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David Wan
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RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives
EMNLP 2025
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Jaehong Yoon
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ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
NeurIPS 2025
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Yiyang Zhou
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Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
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Justin Chih-Yao Chen
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SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
ICLR 2025
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Jaehong Yoon
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SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts
ICCV 2025
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Gengze Zhou
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See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
ICLR 2025
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Amith Ananthram
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Self-Consistency Preference Optimization
ICML 2025
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Archiki Prasad
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System 1.x: Learning to Balance Fast and Slow Planning with Language Models
ICLR 2025
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Swarnadeep Saha
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Teaching Models to Balance Resisting and Accepting Persuasion
NAACL 2025
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Elias Stengel-Eskin
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Unbounded: A Generative Infinite Game of Character Life Simulation
ICLR 2025
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Jialu Li
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VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
ICLR 2025
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Han Lin
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VEGGIE: Instructional Editing and Reasoning Video Concepts with Grounded Generation
ICCV 2025
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Shoubin Yu
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Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
EMNLP 2025
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Ziyang Wang
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Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
EMNLP 2025
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Daeun Lee
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VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
CVPR 2025
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Ziyang Wang
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A Simple LLM Framework for Long-Range Video Question-Answering
EMNLP 2024
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Ce Zhang
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ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization
ACL 2024
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David Wan
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ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
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Archiki Prasad
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
ICLR 2024
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Yiyang Zhou
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
NAACL 2024
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Swarnadeep Saha
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Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
ICLR 2024
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Vaidehi Patil
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CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation
CVPR 2024
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Zineng Tang
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Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training
ECCV 2024
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David Wan
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D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
ICLR 2024
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Adyasha Maharana
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Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
ICLR 2024
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Jaemin Cho
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Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
CVPR 2024
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Jaemin Cho
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ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
ICLR 2024
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Yi-Lin Sung
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Evaluating Very Long-Term Conversational Memory of LLM Agents
ACL 2024
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Adyasha Maharana
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Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
EMNLP 2024
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Haw-Shiuan Chang
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Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024
EMNLP 2024
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Yaser Al-Onaizan
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GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
NeurIPS 2024
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Jinhao Duan
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Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
ACL 2024
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Yichen Jiang
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Knowledge-Aware Reasoning over Multimodal Semi-structured Tables
EMNLP 2024
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Suyash Vardhan Mathur
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LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
NeurIPS 2024
·
Elias Stengel-Eskin
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LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
EMNLP 2024
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Thomas Palmeira Ferraz
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MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
ICML 2024
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Justin Chih-Yao Chen
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MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System
ACM MM 2024
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Ansel Blume
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Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
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Xiyao Wang
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Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
ICLR 2024
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Pingzhi Li
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Multimodal Representation Learning by Alternating Unimodal Adaptation
CVPR 2024
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Xiaohui Zhang
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Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
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Yue Huang
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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024
EMNLP 2024
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Yaser Al-Onaizan
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Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions
NAACL 2024
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Danfeng Guo
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REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
ACL 2024
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Vaidehi Patil
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ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
ACL 2024
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Justin Chih-Yao Chen
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ReGAL: Refactoring Programs to Discover Generalizable Abstractions
ICML 2024
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Elias Stengel-Eskin
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Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
ICLR 2024
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Archiki Prasad
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Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
CVPR 2024
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Qin Liu
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SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
NeurIPS 2024
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Jialu Li
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Soft Self-Consistency Improves Language Models Agents
ACL 2024
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Han Wang
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The Power of Summary-Source Alignments
ACL 2024
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Ori Ernst
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The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
ACL 2024
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Peter Hase
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VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
AAAI 2024
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Jialu Li
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Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition
ACM MM 2024
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Shoubin Yu
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