ACL 2026 — Other / Unclassified | Rajat Kanti Bhattacharjee

Other / Unclassified

267 papers Links not yet available — ACL proceedings pending on ACL Anthology.

Empowering Tabular Data Preparation with Language Models: Why and How?
Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production
A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus
Identifying the Periodicity of Information in Natural Language
EmoHarbor: Evaluating Personalized Emotional Support by Simulating the User’s Internal World
Punctuation-Steered Representation Fine-Tuning
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
ReContraster: Making Your Posters Stand Out with Regional Contrast
CARES: Context-Aware Resolution Selector for VLMs
Think in Sentences: Explicit Sentence Boundaries Enhance Language Model’s Capabilities
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
Splits! Flexible Sociocultural Linguistic Investigation at Scale
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
PUPPET: Neural-Symbolic Standardized Patients for Mental Health
AwarenessBench: Assessing Cognitive Capabilities of Language Models
HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
Inferring Events from Time Series using Language Models
Big AI is Accelerating the Metacrisis: What Can We Do?
Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains
IMPACT: Importance-Aware Activation Space Reconstruction
CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems
G²RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance
Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
Uncovering Temporal Framing in the News
GenProve: Learning to Generate Text with Fine-Grained Provenance
Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain
Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token’s Nature
Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
Structured Episodic Event Memory
Unlocking the Potential of Diffusion Language Models through Template Infilling
Diff4TST: Masked Diffusion Language Model for Text Style Transfer
DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency
Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models
What Makes an Ideal Quote? Recommending “Unexpected yet Rational” Quotations via Novelty
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning
SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?
LVLMs and Humans Ground Differently in Referential Communication
Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs
Automatic Correction of Writing Anomalies in Hausa Texts
Understanding or Memorizing? A Case Study of German Definite Articles in Language Models
AdaJudge: Adaptive Multi-Perspective Judging for Reward Modeling
ThinkPersona: Thinking with Persona Graphs for Faithful Individualized Role-Playing
A Layer-wise Analysis of Supervised Fine-Tuning
Feeling Rules in Language Models: Mapping Norms of Emotional Appropriateness Across Roles, Institutions, and Intensity
When Morphology Hides in Plain Sight: Breaking the Isolation in Vietnamese and Beyond
C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
WeightLoRA: Keep Only Necessary Adapters
GASim: A Graph-Accelerated Hybrid Framework for Social Simulation
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
The Bidirectional Process Reward Model
A Model of the Language Process
Among Us: Language of Conspiracy Theorists on Mainstream Reddit
Bridging Distance and Spectral Positional Encodings via Anchor-Based Diffusion Geometry Approximation
Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement
Language Model as Planner and Formalizer under Constraints
Anchoring Depends on Confidence and Post-Training in Language Models
Locket: Robust Feature-Locking Technique for Language Models
Closing the Spatial Execution Gap in Digital Whiteboards via Verifiable Reinforcement Learning
Hyperion: Private Token Sampling with Homomorphic Encryption
HistLens: Mapping Idea Change across Concepts and Corpora
Stable Signer: Hierarchical Sign Language Generative Model
AI use in American newspapers is widespread, uneven, and rarely disclosed
The Illusion of Specialization: Unveiling the Domain-Invariant “Standing Committee” in Mixture-of-Experts Models
Evolutionary Strategies at Scale lead to Catastrophic Forgetting
Generating Literature-Driven Scientific Theories at Scale
Digitizing Nepal’s Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts
Implicit Representations of Grammaticality in Language Models
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
Robertha: Eigenspectrum Regularized Attention for Robust Natural Language Understanding
MetFuse: Figurative Fusion between Metonymy and Metaphor
Exploring Concreteness Through a Figurative Lens
Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems
Function Words as Statistical Cues for Language Learning
Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation
Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG
Guidelines as Environments: A World Model Approach to Rule Following
Prefix Parsing is Just Parsing
Sigmoid Head for Quality Estimation under Language Ambiguity
Domain Generalizable AI Guardrails with Augmented Policy Training
TabEmb: Joint Semantic-Structure Embedding for Table Annotation
Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context
Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning
All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction
REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning
MeepleLM: A Virtual Playtester Simulating Diverse Subjective Experiences
Is the Attention Matrix Really the Key to Self‑Attention in Multivariate Long‑Term Time Series Forecasting?
TellWhisper: Tell Whisper Who Speaks When
WildReward: Learning Reward Models from In-the-Wild Human Interactions
FocalOrder: Focal Preference Optimization for Reading Order Detection
Triviality Corrected Endogenous Reward
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility
Language Reconstruction with Brain Predictive Coding from fMRI Data
ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis
Placing Puzzle Pieces Where They Matter: A Question Augmentation Framework for Reinforcement Learning
LEDOM: Reverse Language Model
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness
d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage
Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control
MECH: A Cost-Effective Multi-Task Cascade Framework for Classroom Opinion Evolution Recognition
Comparative Analysis of the Intrinsic Metrics for Tokenizers and their effect on Downstream Tasks for Hindi and Marathi
Comparing human and language models sentence processing difficulties on complex structures
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
DVCQR: Dual-View Conversational Query Rewriting with Stage-wise Reinforcement Learning
PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR
SAIR-Comb : A Structure-Aware Iterative Refinement Framework for Combinatorics Autoformalization
I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels
ADVICE: Answer-Dependent Verbalized Confidence Estimation
Powering Verifiable Learning via Automated Evolutionary Data Synthesis
Text-Guided Multi-Scale Frequency Representation Adaptation
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection
Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?
MaDS: Long-Horizon GUI Automation via Synergizing Dual-Layer Memory and Multi-Round Debate
Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
Localized Low-Rank Adaptation within Clustered Parameter Subspaces
Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
Read As Human: Compressing Context via Parallelizable Close Reading and Skimming
Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation
CURE: Critique-Driven Unified Reinforcement Learning for Test-Time Self-Improvement
Don’t Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction
What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
Modal Dependency Parsing as Structured Prediction over Source-Cue Scope
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language
SSA: Improving Performance With a Better Scoring Function
Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing
Expect the Unexpected? Testing the Surprisal of Salient Entities
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Dark & Stormy: Modeling Humor in Sentences from the Bulwer-Lytton Fiction Contest
The Prosody of Emojis
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Gated Differentiable Working Memory for Long-Context Language Modeling
PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning
On the Proper Treatment of Units in Surprisal Theory
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood
De-Anonymization at Scale via Tournament-Style Attribution
Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality
CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
Discovering Properties of Inflectional Morphology in Neural Emergent Communication
Bayesian Social Deduction with Graph-Informed Language Models
Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
Memory efficiency and resource-rational encoding in sentence processing
RAG-on-a-Diet: A Reinforcement Learning-Based Dynamic Resource Optimization Framework for RAG
The Subjectivity of Respect in Police Traffic Stops: Modeling Community Perspectives in Body-Worn Camera Footage
PRInTS: Reward Modeling for Long-Horizon Information Seeking
Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning
KinyaProp: Fine-Grained Propaganda Annotation in Kinyarwanda
R1-RE: Cross-Domain Relation Extraction with RLVR
DRInQ: Evaluating Conversational Implicature with Controlled Context Variation
From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization
SOAPTriage: SOAP-Guided Multi-View Clinical Text Modeling Framework for Automated ESI Prediction
From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability
Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection
HyperMem: Hypergraph Memory for Long-Term Conversations
ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
Turning Failures into Value: Negative Experience Replay for RLVR via Confidence Gating and Boundary Failure Sampling
MiniRAG: A Lightweight RAG system with Small Language Models
AG-GRPO: Answer-Guided GRPO for Masked Diffusion Language Models
Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning
DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination
Confidence Should Be Calibrated More Than One Turn Deep
NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks
Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue
ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation
ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning
Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
VISTA: Verification In Sequential Turn-based Assessment
Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
Edit-Aware Reward Modeling for Chinese Grammatical Error Correction
Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives
Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States
From log π to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight
Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models
Who Plays Which Role When? Communication Role Dynamics for Peer Recognition and Team Performance Prediction
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
On the Effect of Hyperparameters in Language Modeling for Computational Linguistics
Wait! There’s a Way Out: A Decision Mechanism for Forecasting Conversational Derailment
Evaluating Language Model Pluralism through In-the-wild Crowd Discussions
Simulated Students in Tutoring Dialogues: Substance or Illusion?
The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework
P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems
Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models
GMoE: Global Mixture of Experts with Logit Propagation
Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
On the Role of Discriminative Models in Generative Relation Extraction
Legal Judgment Prediction: A Reflection on the State of the Art
GRAD: Generalizing RAG Adaptation with Decoding
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
TRACE: A Corpus of Team Creative Discussions
NSF-SciFy: Mining the NSF Awards Database for Scientific Claims
Evaluating Temporal Consistency in Multi-Turn Language Models
Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing
An Information-Theoretic Foundation for the Subregular Hierarchy
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach
Reframing Responsibility: Framing-Aware Event Causality Identification
DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems
Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings
HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
Cell-Based Representation of Relational Binding in Language Models
CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics
TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
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