← Authors

Caiming Xiong

240 papers · 2014–2025 · 21 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (21) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (28) 🐝 Cross-Pollinator (6) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (24) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (68) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸ”₯ Unstoppable (12) ❓ The Questioner (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (240) ⚑ Prolific Year (34) πŸ—ƒοΈ Keyword Collector (66) πŸ“ˆ Trend Setter

Conferences

EMNLP (52) ACL (38) ICLR (38) NIPS (24) ICML (17) CVPR (17) NAACL (16) IJCNLP (8) EACL (6) ICCV (5) INTERSPEECH (3) ECCV (3) AAAI (3) COLING (2) UAI (2) CONLL (1) CLEAR (1) JMLR (1) AISTATS (1) PGM (1) WACV (1)

Top co-authors

Richard Socher (68) Huan Wang (44) Chien-Sheng Wu (42) Silvio Savarese (37) Yingbo Zhou (36) Shafiq Joty (22) Ran Xu (21) Dragomir Radev (21) Jianguo Zhang (18) Juan Carlos Niebles (18)

Research topics

Domain-Specific (1) Applications (1) Privacy (1)

Keywords

large language model (19) question answering (17) representation learning (12) few-shot learning (11) language model (11) contrastive learning (10) transfer learning (10) text summarization (10) text generation (9) natural language inference (8) reinforcement learning (8) semantic parsing (8) video understanding (7) neural network (7) dialogue system (7) unsupervised learning (6) retrieval-augmented generation (6) benchmark evaluation (6) weakly supervised learning (5) domain adaptation (5)

Papers

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators ICML 2025
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction ICML 2025
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts ICML 2025
Direct Judgement Preference Optimization EMNLP 2025
xLAM: A Family of Large Action Models to Empower AI Agent Systems NAACL 2025
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage NAACL 2025
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments NAACL 2025
ThinK: Thinner Key Cache by Query-Driven Pruning ICLR 2025
Reward-Guided Speculative Decoding for Efficient LLM Reasoning ICML 2025
Generative Frame Sampler for Long Video Understanding ACL 2025
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding ACL 2025
Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents ACL 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025
Unanswerability Evaluation for Retrieval Augmented Generation ACL 2025
LATTE: Learning to Think with Vision Specialists EMNLP 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D EMNLP 2025
Demystifying Domain-adaptive Post-training for Financial LLMs EMNLP 2025
GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers ICLR 2025
BingoGuard: LLM Content Moderation Tools with Risk Levels ICLR 2025
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning ICLR 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models EMNLP 2025
SlackAgents: Scalable Collaboration of AI Agents in Workspaces EMNLP 2025
Bridging the Data Provenance Gap Across Text, Speech, and Video ICLR 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents ICLR 2025
Text2Data: Low-Resource Data Generation with Textual Control AAAI 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025
Trust but Verify: Programmatic VLM Evaluation in the Wild ICCV 2025
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows ICLR 2025
ViUniT: Visual Unit Tests for More Robust Visual Programming CVPR 2025
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models NAACL 2025
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement ICLR 2025
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning ICLR 2025
AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials ICLR 2025
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" ICLR 2025
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles NAACL 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems EMNLP 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024
FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent EMNLP 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments NIPS 2024
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NIPS 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NIPS 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? NIPS 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons NIPS 2024
ARM: Alignment with Residual Energy-Based Model NAACL 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases NAACL 2024
Fair Abstractive Summarization of Diverse Perspectives NAACL 2024
On the Unlikelihood of D-Separation PGM 2024
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024
Parameter-Efficient Detoxification with Contrastive Decoding ACL 2024
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs ACL 2024
Causal Layering via Conditional Entropy CLEAR 2024
Unified Training of Universal Time Series Forecasting Transformers ICML 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent CONLL 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding CVPR 2024
HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning EACL 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer ECCV 2024
"X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning" ECCV 2024
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024
Lemur: Harmonizing Natural Language and Code for Language Agents ICLR 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
Best-k Search Algorithm for Neural Text Generation ACL 2023
Lower Bounds for Learning in Revealing POMDPs ICML 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning ICML 2023
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding CVPR 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning NIPS 2023
What’s New? Summarizing Contributions in Scientific Literature EACL 2023
SharPT: Shared Latent Space Prompt Tuning EACL 2023
Long Document Summarization with Top-down and Bottom-up Inference EACL 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild NIPS 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents AAAI 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems EMNLP 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution EMNLP 2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation EMNLP 2023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis ICLR 2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning ACL 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ACL 2023
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages ACL 2023
Binding Language Models in Symbolic Languages ICLR 2023
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning ICLR 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization EMNLP 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ICCV 2023
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022
Modeling Multi-hop Question Answering as Single Sequence Prediction ACL 2022
Local calibration: metrics and recalibration UAI 2022
Efficient and Differentiable Conformal Prediction with General Function Classes ICLR 2022
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents COLING 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection ACL 2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval ACL 2022
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets EMNLP 2022
CTRLsum: Towards Generic Controllable Text Summarization EMNLP 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation ICML 2022
[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database EMNLP 2022
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization NAACL 2022
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation NAACL 2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis NAACL 2022
MixQG: Neural Question Generation with Mixed Answer Types NAACL 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NIPS 2022
Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework CVPR 2022
Improving Factual Consistency in Summarization with Compression-Based Post-Editing EMNLP 2022
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization EMNLP 2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models EMNLP 2022
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering ACL 2022
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage EMNLP 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
Field Extraction from Forms with Unlabeled Data ACL 2022
QAConv: Question Answering on Informative Conversations ACL 2022
DialFact: A Benchmark for Fact-Checking in Dialogue ACL 2022
ConTinTin: Continual Learning from Task Instructions ACL 2022
Numerical Correlation in Text EMNLP 2022
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels ECCV 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing EMNLP 2022
Proposal Learning for Semi-Supervised Object Detection WACV 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning NIPS 2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality NIPS 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation NIPS 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation NIPS 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NIPS 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NIPS 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models AAAI 2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers ACL 2021
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch ACL 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference ACL 2021
Controllable Abstractive Dialogue Summarization with Sketch Supervision ACL 2021
Structured Scene Memory for Vision-Language Navigation CVPR 2021
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos CVPR 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021
Unsupervised Paraphrasing with Pretrained Language Models EMNLP 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021
Dense Hierarchical Retrieval for Open-domain Question Answering EMNLP 2021
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label EMNLP 2021
Learning From Noisy Data With Robust Representation Learning ICCV 2021
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing ICLR 2021
Prototypical Contrastive Learning of Unsupervised Representations ICLR 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers ICLR 2021
BERTology Meets Biology: Interpreting Attention in Protein Language Models ICLR 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components ICLR 2021
MoPro: Webly Supervised Learning with Momentum Prototypes ICLR 2021
How Important is the Train-Validation Split in Meta-Learning? ICML 2021
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers IJCNLP 2021
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch IJCNLP 2021
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference IJCNLP 2021
Controllable Abstractive Dialogue Summarization with Sketch Supervision IJCNLP 2021
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition INTERSPEECH 2021
DART: Open-Domain Structured Data Record to Text Generation NAACL 2021
Learning to Synthesize Data for Semantic Parsing NAACL 2021
SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021
Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills ICML 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ACL 2020
Online Structured Meta-learning NIPS 2020
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition INTERSPEECH 2020
Theory-Inspired Path-Regularized Differential Network Architecture Search NIPS 2020
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NIPS 2020
Towards Understanding Hierarchical Learning: Benefits of Neural Representations NIPS 2020
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking COLING 2020
Assessing Local Generalization Capability in Deep Models AISTATS 2020
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework ACL 2020
Photon: A Robust Cross-Domain Text-to-SQL System ACL 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks ACL 2020
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs EMNLP 2020
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging EMNLP 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference EMNLP 2020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start EMNLP 2020
Evaluating the Factual Consistency of Abstractive Text Summarization EMNLP 2020
Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020
Probing Task-Oriented Dialogue Representation from Language Models EMNLP 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT EMNLP 2020
Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision EMNLP 2020
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading EMNLP 2020
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NIPS 2019
A High-Quality Multilingual Dataset for Structured Documentation Translation ACL 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning ACL 2019
BERT is Not an Interlingua and the Bias of Tokenization EMNLP 2019
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions EMNLP 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases EMNLP 2019
WSLLN:Weakly Supervised Natural Language Localization Networks EMNLP 2019
Neural Text Summarization: A Critical Evaluation EMNLP 2019
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation CVPR 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition CVPR 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ICML 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning ICML 2019
SParC: Cross-Domain Semantic Parsing in Context ACL 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems ACL 2019
Neural Text Summarization: A Critical Evaluation IJCNLP 2019
WSLLN:Weakly Supervised Natural Language Localization Networks IJCNLP 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases IJCNLP 2019
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions IJCNLP 2019
StartNet: Online Detection of Action Start in Untrimmed Videos ICCV 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition NIPS 2019
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue ICLR 2019
Competitive experience replay ICLR 2019
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation ICLR 2019
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ICLR 2019
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation ICLR 2019
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering ICLR 2019
Non-Autoregressive Neural Machine Translation ICLR 2018
Global-Locally Self-Attentive Encoder for Dialogue State Tracking ACL 2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation INTERSPEECH 2018
A Deep Reinforced Model for Abstractive Summarization ICLR 2018
Efficient and Robust Question Answering from Minimal Context over Documents ACL 2018
Multi-Hop Knowledge Graph Reasoning with Reward Shaping EMNLP 2018
End-to-End Dense Video Captioning With Masked Transformer CVPR 2018
Improving Abstraction in Text Summarization EMNLP 2018
Interpretable Counting for Visual Question Answering ICLR 2018
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering ICLR 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning ICLR 2018
Learned in Translation: Contextualized Word Vectors NIPS 2017
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning CVPR 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017
Recognizing Car Fluents From Video CVPR 2016
Grounded Semantic Role Labeling NAACL 2016
Dynamic Memory Networks for Visual and Textual Question Answering ICML 2016
Joint Action Recognition and Pose Estimation From Video CVPR 2015
Can Humans Fly? Action Understanding With Multiple Classes of Actors CVPR 2015
Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014