SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents 2025-12-30 Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation 2025-12-30 Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion 2025-12-30 Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone 2025-12-30 SpotEdit: Selective Region Editing in Diffusion Transformers 2025-12-30 GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models 2025-12-30 Act2Goal: From World Model To General Goal-conditioned Policy 2025-12-30 Web World Models 2025-12-30 DiRL: An Efficient Post-Training Framework for Diffusion Language Models 2025-12-30 Training AI Co-Scientists Using Rubric Rewards 2025-12-30 Video-BrowseComp: Benchmarking Agentic Video Research on Open Web 2025-12-30 OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding 2025-12-30 VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs 2025-12-30 Nested Browser-Use Learning for Agentic Information Seeking 2025-12-30 YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection 2025-12-30 SurgWorld: Learning Surgical Robot Policies from Videos via World Modeling 2025-12-30 Monadic Context Engineering 2025-12-30 An Information Theoretic Perspective on Agentic System Design 2025-12-30 Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting 2025-12-30 Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation 2025-12-30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410
