Soujanya Poria

10 Open Challenges Steering the Future of Vision-Language-Action Models AAAI 2026 DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026 AlgoPuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Algorithmic Multimodal Puzzles NAACL 2025 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning ACL 2025 Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision EMNLP 2025 Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite? EMNLP 2025 Evaluating LLMs’ Mathematical and Coding Competency through Ontology-guided Interventions ACL 2025 Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025 From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems EMNLP 2025 Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025 Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse ICLR 2025 M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework EMNLP 2025 MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses ICLR 2025 Pixel-Level Reasoning Segmentation via Multi-turn Conversations ACL 2025 PREMISE: Matching-based Prediction for Accurate Review Recommendation NAACL 2025 Reward-Guided Tree Search for Inference Time Alignment of Large Language Models NAACL 2025 Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone AAAI 2025 A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond EACL 2024 Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources ICLR 2024 CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models NAACL 2024 Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction EMNLP 2024 HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks COLING 2024 InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024 Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic ACL 2024 Large Language Models for Automated Open-domain Scientific Hypotheses Discovery ACL 2024 Mustango: Toward Controllable Text-to-Music Generation NAACL 2024 PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns ACL 2024 Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths EMNLP 2024 Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations EMNLP 2024 Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models NAACL 2024 Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models ACL 2024 Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL 2024 WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models EMNLP 2024 ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation Interspeech 2023 Adapter Pruning using Tropical Characterization EMNLP 2023 A Robust Information-Masking Approach for Domain Counterfactual Generation ACL 2023 Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023 kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers EMNLP 2023 Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts EMNLP 2023 Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents EACL 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding Interspeech 2023 UDAPTER - Efficient Domain Adaptation Using Adapters EACL 2023 Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction ACL 2023 A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach EMNLP 2022 Analyzing Modality Robustness in Multimodal Sentiment Analysis NAACL 2022 CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues ACL 2022 DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification COLING 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 Knowledge Enhanced Reflection Generation for Counseling Dialogues ACL 2022 MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022 PIP: Physical Interaction Prediction via Mental Simulation with Span Selection ECCV 2022 RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction ACL 2022 SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning COLING 2022 SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training EMNLP 2022 So Different Yet So Alike! Constrained Unsupervised Text Style Transfer ACL 2022 Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering EMNLP 2022 Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding EMNLP 2022 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study ACL 2021 Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis EMNLP 2021 More Identifiable yet Equally Performant Transformers for Text Classification ACL 2021 MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences NAACL 2021 STaCK: Sentence Ordering with Temporal Commonsense Knowledge EMNLP 2021 CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French EMNLP 2020 COSMIC: COmmonSense knowledge for eMotion Identification in Conversations EMNLP 2020 KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis ACL 2020 MIME: MIMicking Emotions for Empathetic Response Generation EMNLP 2020 DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation EMNLP 2019 DialogueRNN: An Attentive RNN for Emotion Detection in Conversations AAAI 2019 MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations ACL 2019 Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis NAACL 2019 Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) ACL 2019 CASCADE: Contextual Sarcasm Detection in Online Discussion Forums COLING 2018 Contextual Inter-modal Attention for Multi-modal Sentiment Analysis EMNLP 2018 Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos NAACL 2018 IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis EMNLP 2018 ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection EMNLP 2018 Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis NAACL 2018 Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph ACL 2018 Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML) ACL 2018 Context-Dependent Sentiment Analysis in User-Generated Videos ACL 2017 Tensor Fusion Network for Multimodal Sentiment Analysis EMNLP 2017 A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks COLING 2016 SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives COLING 2016 Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis EMNLP 2015 SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning SemEval 2015